Genetic Programming Bibliography entries for Wolfgang Banzhaf

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.8120

GP coauthors/coeditors: Illya Bakurov, Nathaniel Haut, Peter Nordin, Markus Olmer, Robert E Keller, Frank D Francone, Riccardo Poli, Marc Schoenauer, Terence C Fogarty, Jason M Daida, Gusz Eiben, Max H Garzon, Vasant Honavar, Mark Jakiela, Robert E Smith, Dirk Banscherus, Peter Dittrich, William B Langdon, Markus Brameier, Marc Stautner, Klaus Weinert, P Dwight Kuo, James A Foster, Christian W G Lasarczyk, Julian F Miller, Andre Leier, Guillaume Beslon, Steffen Christensen, Francois Kepes, Virginie Lefort, Miroslav Radman, Jeremy J Ramsden, Nelishia Pillay, Simon Harding, Garnett Carl Wilson, Bert Baumgaertner, Rene Doursat, Barry McMullin, Vinicius Veloso de Melo, Thomas Miconi, Lee Spector, Susan Stepney, Roger White, Randal S Olson, William Tozier, Rick L Riolo, Leigh Sheneman, Erik Goodman, Leonardo Trujillo, William P Worzel, Stephan M Winkler, Sara Silva, William F Punch, Ting Hu, Gabriela Ochoa, Hans-Georg Beyer, Una-May O'Reilly, Dirk V Arnold, Christian Blum, Eric Bonabeau, Erick Cantu-Paz, Dipankar Dasgupta, Kalyanmoy Deb, Edwin D de Jong, Hod Lipson, Xavier Llora, Spiros Mancoridis, Martin Pelikan, Gunther R Raidl, Terence Soule, Andrew M Tyrrell, Jean-Paul Watson, Eckart Zitzler, Hamed Bolandi, Nizar Lajnef, Kaveh Barri, A H Alavi, Wolfgang Kantschik, Frank Hoffmann, Jens Busch, Jens Ziegler, Andree Ross, Daniel Sawitzki, Christian Aue, Qi Chen, Bing Xue, Mengjie Zhang, Markus Conrads, Christopher C Crary, Bogdan Burlacu, Sylvain Cussat-Blanc, Kyle Ira Harrington, Edmund Burke, Paul Darwen, Dario Floreano, Mark Harman, Owen Holland, Pier Luca Lanzi, Andrea G B Tettamanzi, Dirk Thierens, Benjamin Fowler, Danilo Vasconcellos Vargas, Giovanni Iacca, Andreas Burgel, Andre Skusa, Thomas Kron, Christian Kuck, Emily Dolson, Charles Ofria, Francisco Fernandez de Vega, Gustavo Olague, Francisco Chavez de la O, Daniel Lanza Garcia, Jose Armando Menendez-Clavijo, Axel Martinez, Larry M Deschaine, Jeanine Graf, Roderich Gross, Keno Albrecht, Dirk Colbry, Haym Hirsh, John Koza, Conor Ryan, Christian Jacob, Joshua L Payne, Jason H Moore, Marco Tomassini, Zhixing Huang, Yi Mei, Fangfang Zhang, Jorn Mehnen, Stephen Kelly, Jacob Newsted, Cedric Gondro, Robert J Smith, Malcolm Heywood, Tatiana Voegerl, Stefan Klahold, Steffen Frank, Mark Kocherovsky, Taras Kowaliw, Nawwaf Kharma, Kumar Chellapilla, Marco Dorigo, David B Fogel, David E Goldberg, Hitoshi Iba, Yuri Lavinas, Kevin Burrage, Shuyue Stella Li, Hannah Peeler, Andrew N Sloss, Kenneth N Reid, Zhichao Lu, Ian Whalen, Yashish Dhebar, Vishnu Naresh Boddeti, Iliya Miralavy, Alexander R Bricco, Assaf A Gilad, Miguel Nicolau, Jens Niehaus, Christian Igel, Michael O'Neill, Leonardo Vanneschi, Steven M Gustafson, Kenneth Reid, Yuan Yuan, Esteban Ricalde, Michael Rosskopf, Udo Feldkamp, Nicolas Scalzitti, David E Korenchan, Christian T Farrar, Lukas Sekanina, Ralf Stadelhofer, Dieter Suter, Amir Tavafi, Akbar Telikani, Amirhessam Tahmassebi, A H Gandomi, Jon Timmis, Martyn Amos, Andrew Vardy, Gregory Vorobyev, David Robert White, Earl Barr, Derek Leblanc, Annie S Wu, Shelly Xiaonan Wu, Lidia Yamamoto, Pierre Collet, Daniele Miorandi, Hengzhe Zhang, Alberto Tonda, Krister Wolff, Jan Barnholt,

Genetic Programming Articles by Wolfgang Banzhaf

  1. Nicolas Scalzitti and Iliya Miralavy and David E. Korenchan and Christian T. Farrar and Assaf A. Gilad and Wolfgang Banzhaf. Computational peptide discovery with a genetic programming approach. Journal of Computer-Aided Molecular Design, 38(1) 2024. details

  2. Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang. A geometric semantic macro-crossover operator for evolutionary feature construction in regression. Genetic Programming and Evolvable Machines, 25:Article number: 2, 2024. Online first. details

  3. Zhixing Huang and Yi Mei and Fangfang Zhang and Mengjie Zhang and Wolfgang Banzhaf. Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling. Genetic Programming and Evolvable Machines, 25:Article no 5, 2024. Online first. details

  4. Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang. Modular Multi-Tree Genetic Programming for Evolutionary Feature Construction for Regression. IEEE Transactions on Evolutionary Computation, 28(5):1455-1469, 2024. details

  5. Wolfgang Banzhaf. ``The physics of evolution'' by Michael W. Roth, CRC press, 2023. Genetic Programming and Evolvable Machines, 25(2):Article no 16, 2024. Book review. details

  6. Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang. MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]. IEEE Computational Intelligence Magazine, 18(4):62-63, 2023. details

  7. Yuan Yuan and Wolfgang Banzhaf. Iterative genetic improvement: Scaling stochastic program synthesis. Artificial Intelligence, 322:103962, 2023. details

  8. Iliya Miralavy and Alexander R. Bricco and Assaf A. Gilad and Wolfgang Banzhaf. Using genetic programming to predict and optimize protein function. PeerJ Physical Chemistry, 2022. details

  9. William B. Langdon and Wolfgang Banzhaf. Long-Term Evolution Experiment with Genetic Programming. Artificial Life, 28(2):173-204, 2022. Invited submission to Artificial Life Journal special issue of the ALIFE'19 conference. details

  10. Akbar Telikani and Amirhessam Tahmassebi and Wolfgang Banzhaf and Amir H. Gandomi. Evolutionary Machine Learning: A Survey. ACM Computing Surveys, 54(8):Article 161, 2021. details

  11. Zhichao Lu and Ian Whalen and Yashish Dhebar and Kalyanmoy Deb and Erik Goodman and Wolfgang Banzhaf and Vishnu Bodetti. Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification. IEEE Transactions on Evolutionary Computation, 25(2):277-291, 2021. details

  12. Stephen Kelly and Tatiana Voegerl and Wolfgang Banzhaf and Cedric Gondro. Evolving hierarchical memory-prediction machines in multi-task reinforcement learning. Genetic Programming and Evolvable Machines, 22(4):573-605, 2021. Special Issue: Highlights of Genetic Programming 2020 Events. details

  13. Stephen Kelly and Robert J. Smith and Malcolm I. Heywood and Wolfgang Banzhaf. Emergent Tangled Program Graphs in Partially Observable Recursive Forecasting and ViZDoom Navigation Tasks. ACM Transactions on Evolutionary Learning and Optimization, 1(3) 2021. details

  14. Yuan Yuan and Wolfgang Banzhaf. ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming. IEEE Transactions on Software Engineering, 46(10):1040-1067, 2020. details

  15. Yuan Yuan and Wolfgang Banzhaf. Toward Better Evolutionary Program Repair: an Integrated Approach. ACM Transactions on Software Engineering and Methodology, 29(1):5:1-5:53, 2020. details

  16. Ting Hu and Marco Tomassini and Wolfgang Banzhaf. A network perspective on genotype-phenotype mapping in genetic programming. Genetic Programming and Evolvable Machines, 21(3):375-397, 2020. Special Issue: Highlights of Genetic Programming 2019 Events. details

  17. Francisco Fernandez de Vega and Gustavo Olague and Daniel Lanza and Francisco Chavez de la O and Wolfgang Banzhaf and Erik Goodman and Jose Menendez-Clavijo and Axel Martinez. Time and Individual Duration in Genetic Programming. IEEE Access, 8:38692-38713, 2020. details

  18. Hamed Bolandi and Wolfgang Banzhaf and Nizar Lajnef and Kaveh Barri and Amir H. Alavi. An Intelligent Model for the Prediction of Bond Strength of FRP Bars in Concrete: A Soft Computing Approach. Technologies, 7(2):42, 2019. details

  19. Vinicius Veloso de Melo and Wolfgang Banzhaf. Drone Squadron Optimization: a novel self-adaptive algorithm for global numerical optimization. Neural Computing and Applications, 30:3117-3144, 2018. details

  20. Vinicius Veloso de Melo and Wolfgang Banzhaf. Automatic feature engineering for regression models with machine learning: An evolutionary computation and statistics hybrid. Information Sciences, 430-431:287-313, 2018. details

  21. Sylvain Cussat-Blanc and Kyle Harrington and Wolfgang Banzhaf. Artificial Genetic Regulatory Networks - A Review. Artificial Life, 24(4):296-328, 2018. details

  22. Vinicius Veloso de Melo and Wolfgang Banzhaf. Improving the prediction of material properties of concrete using Kaizen Programming with Simulated Annealing. Neurocomputing, 246:25-44, 2017. Brazilian Conference on Intelligent Systems 2015. details

  23. Wolfgang Banzhaf and Bert Baumgaertner and Guillaume Beslon and Rene Doursat and James Foster and Barry McMullin and Vinicius Veloso de Melo and Thomas Miconi and Lee Spector and Susan Stepney and Roger White. Defining and Simulating Open-Ended Novelty: Requirements, Guidelines, and Challenges. Theory in Biosciences, 135(3):131-161, 2016. Special Issue in Commemoration of Olaf Breidbach - Part I. details

  24. Andrew Vardy and Gregory Vorobyev and Wolfgang Banzhaf. Cache Consensus: Rapid Object Sorting by a Robotic Swarm. Swarm Intelligence, 8(1):61-87, 2014. details

  25. Ting Hu and Wolfgang Banzhaf and Jason H. Moore. The effects of recombination on phenotypic exploration and robustness in evolution. Artificial Life, 20(4):457-470, 2014. Ten thousandth GP entry in the genetic programming bibliography. details

  26. Wolfgang Banzhaf. Response to comments on ''Genetic Programming and Emergence''. Genetic Programming and Evolvable Machines, 15(1):103-108, 2014. details

  27. Wolfgang Banzhaf. Genetic Programming and Emergence. Genetic Programming and Evolvable Machines, 15(1):63-73, 2014. details

  28. Ting Hu and Joshua Payne and Wolfgang Banzhaf and Jason Moore. Evolutionary dynamics on multiple scales: a quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming. Genetic Programming and Evolvable Machines, 13(3):305-337, 2012. Special issue on selected papers from the 2011 European conference on genetic programming. details

  29. Lidia Yamamoto and Daniele Miorandi and Pierre Collet and Wolfgang Banzhaf. Recovery Properties of Distributed Cluster Head Election using Reaction Diffusion. Swarm Intelligence, 5(3-4):225-255, 2011. ANTS 2010 Special Issue, Part 1. details

  30. Ting Hu and Wolfgang Banzhaf. Evolvability and Speed of Evolutionary Algorithms in Light of Recent Developments in Biology. Journal of Artificial Evolution and Applications, 2010:Article ID 568375, 2010. Review Article. details

  31. Ting Hu and Simon Harding and Wolfgang Banzhaf. Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm. Genetic Programming and Evolvable Machines, 11(2):205-225, 2010. details

  32. Shelly Xiaonan Wu and Wolfgang Banzhaf. The use of computational intelligence in intrusion detection systems: A review. Applied Soft Computing, 10(1):1-35, 2010. details

  33. Garnett Wilson and Wolfgang Banzhaf. Deployment of parallel linear genetic programming using GPUs on PC and video game console platforms. Genetic Programming and Evolvable Machines, 11(2):147-184, 2010. details

  34. Michael O'Neill and Leonardo Vanneschi and Steven Gustafson and Wolfgang Banzhaf. Open issues in genetic programming. Genetic Programming and Evolvable Machines, 11(3/4):339-363, 2010. Tenth Anniversary Issue: Progress in Genetic Programming and Evolvable Machines. details

  35. Simon Harding and Julian F. Miller and Wolfgang Banzhaf. Developments in Cartesian Genetic Programming: self-modifying CGP. Genetic Programming and Evolvable Machines, 11(3/4):397-439, 2010. Tenth Anniversary Issue: Progress in Genetic Programming and Evolvable Machines. details

  36. W. B. Langdon and R. Poli and W. Banzhaf. An Eigen Analysis of the GP Community. Genetic Programming and Evolvable Machines, 9(3):171-182, 2008. details

  37. W. B. Langdon and W. Banzhaf. Repeated Patterns in Genetic Programming. Natural Computing, 7(4):589-613, 2008. details

  38. S. Harding and W. Banzhaf. Genetic programming on GPUs for image processing. International Journal of High Performance Systems Architecture, 1(4):231-240, 2008. details

  39. Ralf Stadelhofer and Wolfgang Banzhaf and Dieter Suter. Evolving blackbox quantum algorithms using genetic programming. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 22(3):285-297, 2008. details

  40. Jens Niehaus and Christian Igel and Wolfgang Banzhaf. Reducing the Number of Fitness Evaluations in Graph Genetic Programming Using a Canonical Graph Indexed Database. Evolutionary Computation, 15(2):199-221, 2007. details

  41. Andre Leier and Dwight Kuo and Wolfgang Banzhaf. Analysis of preferential network motif generation in an artificial regulatory network model created by duplication and divergence. Advances in Complex Systems, 10(2):155-172, 2007. details

  42. Wolfgang Banzhaf and Nelishia Pillay. Why Complex Systems Engineering needs Biological Development. Complexity, 13(2):12-21, 2007. details

  43. Jon Timmis and Martyn Amos and Wolfgang Banzhaf and Andy Tyrrell. Going Back to our Roots: Second Generation Biocomputing. International Journal of Unconventional Computing, 2(4):349-378, 2006. Special Issue: Grand Challenge in Non-Classical Computation. details

  44. P. Dwight Kuo and Wolfgang Banzhaf and Andre Leier. Network topology and the evolution of dynamics in an artificial genetic regulatory network model created by whole genome duplication and divergence. Biosystems, 85(3):177-200, 2006. details

  45. Wolfgang Banzhaf and Guillaume Beslon and Steffen Christensen and James Foster and Francois Kepes and Virginie Lefort and Julian Miller and Miroslav Radman and Jeremy J. Ramsden. From Artificial Evolution to Computational Evolution: A Research Agenda. Nature Reviews Genetics, 7(9):729-735, 2006. details

  46. William B. Langdon and Wolfgang Banzhaf. Repeated Sequences in Linear Genetic Programming Genomes. Complex Systems, 15(4):285-306, 2005. details

  47. Ralf Stadelhofer and Dieter Suter and Wolfgang Banzhaf. Quantum and classical parallelism in parity algorithms for ensemble quantum computers. Physical Review A, 71(3):032345, 2005. details

  48. Christian W. G. Lasarczyk and Peter Dittrich and Wolfgang Banzhaf. Dynamic Subset Selection Based on a Fitness Case Topology. Evolutionary Computation, 12(2):223-242, 2004. details

  49. Wolfgang Banzhaf and James Foster. Editorial Introduction. Genetic Programming and Evolvable Machines, 5(2):119-120, 2004. details

  50. Wolfgang Banzhaf. Artificial chemistries - Toward Constructive Dynamical Systems. Solid State Phenomena, 97/98:43-50, 2004. details

  51. Wolfgang Banzhaf and P. Dwight Kuo. Network motifs in natural and artificial transcriptional regulatory networks. Journal of Biological Physics and Chemistry, 4(2):85-92, 2004. details

  52. Peter Dittrich and Thomas Kron and Wolfgang Banzhaf. On the Scalability of Social Order. Journal of Artificial Societies and Social Simulation, 6(1) 2003. details

  53. W. Banzhaf and W. B. Langdon. Some considerations on the reason for bloat. Genetic Programming and Evolvable Machines, 3(1):81-91, 2002. details

  54. Peter Dittrich and Thomas Kron and Christian Kuck and Wolfgang Banzhaf. Iterated Mutual Observation with Genetic Programming. Sozionik Aktuell, 2 2001. details

  55. Markus Brameier and Wolfgang Banzhaf. Evolving Teams of Predictors with Linear Genetic Programming. Genetic Programming and Evolvable Machines, 2(4):381-407, 2001. details

  56. Jens Ziegler and Wolfgang Banzhaf. Evolving Control Metabolisms for a Robot. Artificial Life, 7(2):171-190, 2001. details

  57. Markus Brameier and Wolfgang Banzhaf. A Comparison of Linear Genetic Programming and Neural Networks in Medical Data Mining. IEEE Transactions on Evolutionary Computation, 5(1):17-26, 2001. details

  58. Haym Hirsh and Wolfgang Banzhaf and John R. Koza and Conor Ryan and Lee Spector and Christian Jacob. Genetic Programming. IEEE Intelligent Systems, 15(3):74-84, 2000. details

  59. Wolfgang Banzhaf. The artificial evolution of computer code. IEEE Intelligent Systems, 15(3):74-76, 2000. details

  60. Wolfgang Banzhaf and Dirk Banscherus and Peter Dittrich. Hierarchical Genetic Programming using Local Modules. InterJournal Complex Systems, 228 2000. details

  61. Annie S. Wu and Wolfgang Banzhaf. Introduction to the Special Issue: Variable-Length Representation and Noncoding Segments for Evolutionary Algorithms. Evolutionary Computation, 6(4):iii-vi, 1998. details

  62. Peter Nordin and Wolfgang Banzhaf and Markus Brameier. Evolution of a world model for a miniature robot using genetic programming. Robotics and Autonomous Systems, 25(1-2):105-116, 1998. details

  63. Peter Nordin and Wolfgang Banzhaf. Real Time Control of a Khepera Robot using Genetic Programming. Cybernetics and Control, 26(3):533-561, 1997. details

  64. Peter Nordin and Wolfgang Banzhaf. An On-Line Method to Evolve Behavior and to Control a Miniature Robot in Real Time with Genetic Programming. Adaptive Behavior, 5(2):107-140, 1996. details

  65. Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang. A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression. IEEE Transactions on Evolutionary Computation. Accepted for future publication. details

  66. Nathan Haut and Wolfgang Banzhaf and Bill Punch. Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression. IEEE Transactions on Evolutionary Computation. Early Access. details

Genetic Programming Books by Wolfgang Banzhaf

Genetic Programming Conference proceedings edited by Wolfgang Banzhaf

  1. Leonardo Trujillo and Stephan M. Winkler and Sara Silva and Wolfgang Banzhaf editors, Genetic Programming Theory and Practice XIX. East Lansing, USA, Springer, 2022. details

  2. Wolfgang Banzhaf and Leonardo Trujillo and Stephan Winkler and Bill Worzel editors, Genetic Programming Theory and Practice XVIII. East Lansing, USA, Springer, 2021. details

  3. Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII. East Lansing, MI, USA, Springer, 2019. details

  4. Wolfgang Banzhaf and Lee Spector and Leigh Sheneman editors, Genetic Programming Theory and Practice XVI. Ann Arbor, USA, Springer, 2018. details

  5. Wolfgang Banzhaf and Randal S. Olson and William Tozier and Rick Riolo editors, Genetic Programming Theory and Practice XV. Ann Arbor, USA, Springer, 2017. details

  6. Hans-Georg Beyer and Una-May O'Reilly and Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and Eric W. Bonabeau and Erick Cantu-Paz and Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and Edwin D. de Jong and Hod Lipson and Xavier Llora and Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and Terence Soule and Andy M. Tyrrell and Jean-Paul Watson and Eckart Zitzler editors, GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation. Washington DC, USA, ACM Press, 2005. details

  7. Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell editors, Genetic and Evolutionary Computation -- GECCO-2004, Part II. Volume 3103 of Lecture Notes in Computer Science, Seattle, WA, USA, Springer-Verlag, 2004. details

  8. Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell editors, Genetic and Evolutionary Computation -- GECCO-2004, Part I. Volume 3102 of Lecture Notes in Computer Science, Seattle, WA, USA, Springer-Verlag, 2004. details

  9. Riccardo Poli and Wolfgang Banzhaf and William B. Langdon and Julian F. Miller and Peter Nordin and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'2000. Volume 1802 of LNCS, Edinburgh, Springer-Verlag, 2000. details

  10. Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference. Orlando, Florida, USA, Morgan Kaufmann, 1999. details

  11. John R. Koza and Wolfgang Banzhaf and Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max H. Garzon and David E. Goldberg and Hitoshi Iba and Rick Riolo editors, Genetic Programming 1998: Proceedings of the Third Annual Conference. University of Wisconsin, Madison, WI, USA, Morgan Kaufmann, 1998. details

  12. Wolfgang Banzhaf and Riccardo Poli and Marc Schoenauer and Terence C. Fogarty editors, Genetic Programming. Volume 1391 of LNCS, Paris, Springer-Verlag, 1998. details

  13. Riccardo Poli and W. B. Langdon and Marc Schoenauer and Terry Fogarty and Wolfgang Banzhaf editors, Late Breaking Papers at EuroGP'98: the First European Workshop on Genetic Programming. Paris, France, 1998. details

Genetic Programming conference papers by Wolfgang Banzhaf

  1. Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang. A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]. In Marcus Gallagher editor, Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 65-66, Melbourne, Australia, 2024. Association for Computing Machinery. details

  2. Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang. Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. In Ting Hu and Aniko Ekart and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 998-1006, Melbourne, Australia, 2024. Association for Computing Machinery. details

  3. Yuri Lavinas and Nathaniel Haut and William Punch and Wolfgang Banzhaf and Sylvain Cussat-Blanc. Dynamically Sampling biomedical Images For Genetic Programming. In Ting Hu and Aniko Ekart editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 515-518, Melbourne, Australia, 2024. Association for Computing Machinery. details

  4. Yuri Lavinas and Nathan Haut and William Punch and Wolfgang Banzhaf and Sylvain Cussat-Blanc. Data Sampling via Active Learning in Cartesian Genetic Programming for Biomedical Data. In Bing Xue editor, 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE. details

  5. Vinicius Veloso De Melo and Wolfgang Banzhaf and Giovanni Iacca. Accelerating GP Genome Evaluation Through Real Compilation with a Multiple Program Single Data Approach. In William La Cava and Steven Gustafson editors, Symbolic Regression, pages 2041-2049, Melbourne, Australia, 2024. Association for Computing Machinery. details

  6. Wolfgang Banzhaf and Ting Hu. Linear Genetic Programming. In Mengjie Zhang and Emma Hart editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 759-771, Melbourne, Australia, 2024. Association for Computing Machinery. Tutorial. details

  7. Wolfgang Banzhaf and Illya Bakurov. On the Nature of the Phenotype in Tree Genetic Programming. In Ting Hu and Aniko Ekart and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 868-877, Melbourne, Australia, 2024. Association for Computing Machinery. details

  8. Hengzhe Zhang and Qi Chen and Bing Xue and Mengjie Zhang and Wolfgang Banzhaf. P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization. In Heike Trautmann and Tea Tusar and Penousal Machado and Thomas Baeck editors, 18th International Conference on Parallel Problem Solving from Nature, University of Applied Sciences Upper Austria, Hagenberg, Austria, 2024. Springer. details

  9. Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang. Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression. In Mario Giacobini and Bing Xue and Luca Manzoni editors, EuroGP 2024: Proceedings of the 27th European Conference on Genetic Programming, volume 14631, pages 142-158, Aberystwyth, 2024. Springer. details

  10. Yuri Lavinas and Nathaniel Haut and William Punch and Wolfgang Banzhaf and Sylvain Cussat-Blanc. Adaptive Sampling of Biomedical Images with Cartesian Genetic Programming. In Heike Trautmann and Tea Tusar and Penousal Machado and Thomas Baeck editors, 18th International Conference on Parallel Problem Solving from Nature, University of Applied Sciences Upper Austria, Hagenberg, Austria, 2024. Springer. details

  11. Mark Kocherovsky and Wolfgang Banzhaf. Crossover Destructiveness in Cartesian versus Linear Genetic Programming. In Andres Faina and Sebastian Risi and Eric Medvet and Kasper Stoy and Bert Chan and Karine Miras and Payam Zahadat and Djordje Grbic and Giorgia Nadizar editors, ALIFE 2024: Proceedings of the 2024 Artificial Life Conference, pages 164-172, Copenhagen, 2024. MIT Press. details

  12. Christopher Crary and Bogdan Burlacu and Wolfgang Banzhaf. Enhancing the Computational Efficiency of Genetic Programming through Alternative Floating-Point Primitives. In Heike Trautmann and Tea Tusar and Penousal Machado and Thomas Baeck editors, 18th International Conference on Parallel Problem Solving from Nature, University of Applied Sciences Upper Austria, Hagenberg, Austria, 2024. Springer. details

  13. Illya Bakurov and Nathan Haut and Wolfgang Banzhaf. Sharpness-aware minimization in genetic programming. In Wolfgang Banzhaf and Ting Hu and Alexander Lalejini and Stephan Winkler editors, Genetic Programming Theory and Practice XXI, University of Michigan, USA, 2024. details

  14. Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang. Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction. In Fenrong Liu and Arun Anand Sadanandan and Duc Nghia Pham and Petrus Mursanto and Dickson Lukose editors, Pacific Rim International Conference on Artificial Intelligence, volume 14326, pages 385-397, Jakarta, Indonesia, 2023. Springer Nature. details

  15. Nathan Haut and Bill Punch and Wolfgang Banzhaf. Active Learning Informs Symbolic Regression Model Development in Genetic Programming. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 587-590, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  16. Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang. Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 420-428, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  17. Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang. A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 1194-1202, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  18. Hengzhe Zhang and Qi Chen and Alberto Tonda and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang. MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. In Gisele Pappa and Mario Giacobini and Zdenek Vasicek editors, EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming, volume 13986, pages 84-100, Brno, Czech Republic, 2023. Springer Verlag. details

  19. Iliya Miralavy and Wolfgang Banzhaf. Spatial Genetic Programming. In Gisele Pappa and Mario Giacobini and Zdenek Vasicek editors, EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming, volume 13986, pages 260-275, Brno, Czech Republic, 2023. Springer Verlag. details

  20. Ting Hu and Gabriela Ochoa and Wolfgang Banzhaf. Phenotype Search Trajectory Networks for Linear Genetic Programming. In Gisele Pappa and Mario Giacobini and Zdenek Vasicek editors, EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming, volume 13986, pages 52-67, Brno, Czech Republic, 2023. Springer Verlag. details

  21. Nathan Haut and Wolfgang Banzhaf and Bill Punch and Dirk Colbry. Accelerating Image Analysis Research with Active Learning Techniques in Genetic Programming. In Stephan Winkler and Leonardo Trujillo and Charles Ofria and Ting Hu editors, Genetic Programming Theory and Practice XX, pages 45-64, Michigan State University, USA, 2023. Springer. details

  22. Wolfgang Banzhaf and Ting Hu and Gabriela Ochoa. How the Combinatorics of Neutral Spaces Leads Genetic Programming to Discover Simple Solutions. In Stephan Winkler and Leonardo Trujillo and Charles Ofria and Ting Hu editors, Genetic Programming Theory and Practice XX, pages 65-86, Michigan State University, USA, 2023. Springer. details

  23. Hannah Peeler and Shuyue Li and Andrew Sloss and Kenneth Reid and Yuan Yuan and Wolfgang Banzhaf. Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework. In Heike Trautmann and Carola Doerr and Alberto Moraglio and Thomas Bartz-Beielstein and Bogdan Filipic and Marcus Gallagher and Yew-Soon Ong and Abhishek Gupta and Anna V Kononova and Hao Wang and Michael Emmerich and Peter A. N. Bosman and Daniela Zaharie and Fabio Caraffini and Johann Dreo and Anne Auger and Konstantin Dietric and Paul Dufosse and Tobias Glasmachers and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Dimo Brockhoff and Tome Eftimov and Pascal Kerschke and Boris Naujoks and Mike Preuss and Vanessa Volz and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Mark Coletti and Catherine (Katie) Schuman and Eric ``Siggy'' Scott and Robert Patton and Paul Wiegand and Jeffrey K. Bassett and Chathika Gunaratne and Tinkle Chugh and Richard Allmendinger and Jussi Hakanen and Daniel Tauritz and John Woodward and Manuel Lopez-Ibanez and John McCall and Jaume Bacardit and Alexander Brownlee and Stefano Cagnoni and Giovanni Iacca and David Walker and Jamal Toutouh and UnaMay O'Reilly and Penousal Machado and Joao Correia and Sergio Nesmachnow and Josu Ceberio and Rafael Villanueva and Ignacio Hidalgo and Francisco Fernandez de Vega and Giuseppe Paolo and Alex Coninx and Antoine Cully and Adam Gaier and Stefan Wagner and Michael Affenzeller and Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and William B. Langdon and Justyna Petke and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Paetzel and Alexander Wagner and Michael Heider and Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Mohammad Nabi Omidvar and Yuan Sun and Ernesto Tarantino and De Falco Ivanoe and Antonio Della Cioppa and Scafuri Umberto and John Rieffel and Jean-Baptiste Mouret and Stephane Doncieux and Stefanos Nikolaidis and Julian Togelius and Matthew C. Fontaine and Serban Georgescu and Francisco Chicano and Darrell Whitley and Oleksandr Kyriienko and Denny Dahl and Ofer Shir and Lee Spector and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin and Erik Hemberg and Marwa A. Elsayed and Michael Kommenda and William La Cava and Gabriel Kronberger and Steven Gustafson editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 578-581, Boston, USA, 2022. Association for Computing Machinery. details

  24. William B. Langdon and Wolfgang Banzhaf. Long-Term Evolution Experiment with Genetic Programming [Hot of the Press]. In Marcus Gallagher editor, Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 29-30, Boston, USA, 2022. Association for Computing Machinery. details

  25. Nathaniel Haut and Wolfgang Banzhaf and Bill Punch. Active Learning Improves Performance on Regression Tasks inStackGP. In Heike Trautmann and Carola Doerr and Alberto Moraglio and Thomas Bartz-Beielstein and Bogdan Filipic and Marcus Gallagher and Yew-Soon Ong and Abhishek Gupta and Anna V Kononova and Hao Wang and Michael Emmerich and Peter A. N. Bosman and Daniela Zaharie and Fabio Caraffini and Johann Dreo and Anne Auger and Konstantin Dietric and Paul Dufosse and Tobias Glasmachers and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Dimo Brockhoff and Tome Eftimov and Pascal Kerschke and Boris Naujoks and Mike Preuss and Vanessa Volz and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Mark Coletti and Catherine (Katie) Schuman and Eric ``Siggy'' Scott and Robert Patton and Paul Wiegand and Jeffrey K. Bassett and Chathika Gunaratne and Tinkle Chugh and Richard Allmendinger and Jussi Hakanen and Daniel Tauritz and John Woodward and Manuel Lopez-Ibanez and John McCall and Jaume Bacardit and Alexander Brownlee and Stefano Cagnoni and Giovanni Iacca and David Walker and Jamal Toutouh and UnaMay O'Reilly and Penousal Machado and Joao Correia and Sergio Nesmachnow and Josu Ceberio and Rafael Villanueva and Ignacio Hidalgo and Francisco Fernandez de Vega and Giuseppe Paolo and Alex Coninx and Antoine Cully and Adam Gaier and Stefan Wagner and Michael Affenzeller and Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and William B. Langdon and Justyna Petke and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Paetzel and Alexander Wagner and Michael Heider and Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Mohammad Nabi Omidvar and Yuan Sun and Ernesto Tarantino and De Falco Ivanoe and Antonio Della Cioppa and Scafuri Umberto and John Rieffel and Jean-Baptiste Mouret and Stephane Doncieux and Stefanos Nikolaidis and Julian Togelius and Matthew C. Fontaine and Serban Georgescu and Francisco Chicano and Darrell Whitley and Oleksandr Kyriienko and Denny Dahl and Ofer Shir and Lee Spector and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin and Erik Hemberg and Marwa A. Elsayed and Michael Kommenda and William La Cava and Gabriel Kronberger and Steven Gustafson editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 550-553, Boston, USA, 2022. Association for Computing Machinery. details

  26. Shuyue Stella Li and Hannah Peeler and Andrew N. Sloss and Kenneth N. Reid and Wolfgang Banzhaf. Genetic Improvement in the Shackleton Framework for Optimizing LLVM Pass Sequences. In Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and W. B. Langdon and Justyna Petke editors, GI @ GECCO 2022, pages 1938-1939, Boston, USA, 2022. Association for Computing Machinery. Winner Best Presentation. details

  27. Nathan Haut and Wolfgang Banzhaf and Bill Punch. Correlation versus RMSE Loss Functions in Symbolic Regression Tasks. In Leonardo Trujillo and Stephan M. Winkler and Sara Silva and Wolfgang Banzhaf editors, Genetic Programming Theory and Practice XIX, pages 31-55, Ann Arbor, USA, 2022. Springer. details

  28. Stephen Kelly and Jacob Newsted and Wolfgang Banzhaf and Cedric Gondro. A Modular Memory Framework for Time Series Prediction. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 949-957, internet, 2020. Association for Computing Machinery. details

  29. Vinicius V. de Melo and Danilo Vasconcellos Vargas and Wolfgang Banzhaf. Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament. In Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie Peprez Caceres and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, pages 994-1002, Prague, Czech Republic, 2019. ACM. details

  30. Yuan Yuan and Wolfgang Banzhaf. An Evolutionary System for better automatic software repair. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, pages 383-406, East Lansing, MI, USA, 2019. Springer. details

  31. Yuan Yuan and Wolfgang Banzhaf. A Hybrid Evolutionary System for Automatic Software Repair. In Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie Peprez Caceres and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1417-1425, Prague, Czech Republic, 2019. ACM. details

  32. David R. White and Benjamin Fowler and Wolfgang Banzhaf and Earl T. Barr. Modelling Genetic Programming as a Simple Sampling Algorithm. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, pages 367-381, East Lansing, MI, USA, 2019. Springer. details

  33. William B. Langdon and Wolfgang Banzhaf. Continuous Long-Term Evolution of Genetic Programming. In Rudolf Fuechslin editor, Conference on Artificial Life (ALIFE 2019), pages 388-395, Newcastle, 2019. MIT Press. details

  34. Stephen Kelly and Wolfgang Banzhaf. Temporal Memory Sharing in Visual Reinforcement Learning. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, pages 101-119, East Lansing, MI, USA, 2019. Springer. details

  35. Ting Hu and Marco Tomassini and Wolfgang Banzhaf. Complex Network Analysis of a Genetic Programming Phenotype Network. In Lukas Sekanina and Ting Hu and Nuno Lourenco editors, EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 49-63, Leipzig, Germany, 2019. Springer Verlag. details

  36. Francisco Fernandez de Vega and Gustavo Olague and Francisco Chavez and Daniel Lanza and Wolfgang Banzhaf and Erik Goodman. It is time for new perspectives on how to fight bloat in GP. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, pages 25-38, East Lansing, MI, USA, 2019. Springer. details

  37. Hamed Bolandi and Wolfgang Banzhaf and Nizar Lajnef and Kaveh Barri and Amir. H Alavi. Bond strength prediction of FRP-bar reinforced concrete: a multi-gene genetic programming approach. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 364-364, Prague, Czech Republic, 2019. ACM. details

  38. Amir Tavafi and Wolfgang Banzhaf. A Hybrid Genetic Programming Decision Making System for RoboCup Soccer Simulation. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 1025-1032, Berlin, Germany, 2017. ACM. details

  39. Esteban Ricalde and W. Banzhaf. Evolving Adaptive Traffic Signal Controllers for a Real Scenario Using Genetic Programming with an Epigenetic Mechanism. In 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), pages 897-902, 2017. details

  40. Emily Dolson and Wolfgang Banzhaf and Charles Ofria. Applying Ecological Principles to Genetic Programming. In Wolfgang Banzhaf and Randal S. Olson and William Tozier and Rick Riolo editors, Genetic Programming Theory and Practice XV, pages 73-88, University of Michigan in Ann Arbor, USA, 2017. Springer. details

  41. Vinicius Veloso de Melo and Wolfgang Banzhaf. Improving Logistic Regression Classification of Credit Approval with Features Constructed by Kaizen Programming. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 61-62, Denver, USA, 2016. ACM. details

  42. Esteban Ricalde and Wolfgang Banzhaf. A Genetic Programming Approach for the Traffic Signal Control Problem with Epigenetic Modifications. In Malcolm I. Heywood and James McDermott and Mauro Castelli and Ernesto Costa and Kevin Sim editors, EuroGP 2016: Proceedings of the 19th European Conference on Genetic Programming, volume 9594, pages 133-148, Porto, Portugal, 2016. Springer Verlag. details

  43. Ting Hu and Wolfgang Banzhaf. Neutrality, Robustness, and Evolvability in Genetic Programming. In Rick Riolo and Bill Worzel and Brian Goldman and Bill Tozier editors, Genetic Programming Theory and Practice XIV, pages 101-117, Ann Arbor, USA, 2016. Springer. details

  44. Ting Hu and Wolfgang Banzhaf. Quantitative Analysis of Evolvability using Vertex Centralities in Phenotype Network. In Tobias Friedrich editor, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 733-740, Denver, USA, 2016. ACM. Nominated for best paper. details

  45. Benjamin Fowler and Wolfgang Banzhaf. Modelling Evolvability in Genetic Programming. In Malcolm I. Heywood and James McDermott and Mauro Castelli and Ernesto Costa and Kevin Sim editors, EuroGP 2016: Proceedings of the 19th European Conference on Genetic Programming, volume 9594, pages 215-229, Porto, Portugal, 2016. Springer Verlag. details

  46. Vinicius Veloso de Melo and Wolfgang Banzhaf. Kaizen Programming for Feature Generation. In Rick Riolo and William P. Worzel and M. Kotanchek and A. Kordon editors, Genetic Programming Theory and Practice XIII, pages 39-57, Ann Arbor, USA, 2015. Springer. details

  47. Vinicius Veloso de Melo and Benjamin Fowler and Wolfgang Banzhaf. Evaluating Methods for Constant Optimization of Symbolic Regression Benchmark Problems. In 2015 Brazilian Conference on Intelligent Systems (BRACIS), pages 25-30, Natal, Brazil, 2015. details

  48. Ting Hu and Wolfgang Banzhaf and Jason Moore. Population Exploration on Genotype Networks in Genetic Programming. In Thomas Bartz-Beielstein and Juergen Branke and Bogdan Filipic and Jim Smith editors, 13th International Conference on Parallel Problem Solving from Nature, volume 8672, pages 424-333, Ljubljana, Slovenia, 2014. Springer. details

  49. Ting Hu and Wolfgang Banzhaf and Jason H. Moore. Robustness and Evolvability of Recombination in Linear Genetic Programming. In Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors, Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 97-108, Vienna, Austria, 2013. Springer Verlag. details

  50. Taras Kowaliw and Wolfgang Banzhaf and Rene Doursat. Networks of transform-based evolvable features for object recognition. In Christian Blum and Enrique Alba and Anne Auger and Jaume Bacardit and Josh Bongard and Juergen Branke and Nicolas Bredeche and Dimo Brockhoff and Francisco Chicano and Alan Dorin and Rene Doursat and Aniko Ekart and Tobias Friedrich and Mario Giacobini and Mark Harman and Hitoshi Iba and Christian Igel and Thomas Jansen and Tim Kovacs and Taras Kowaliw and Manuel Lopez-Ibanez and Jose A. Lozano and Gabriel Luque and John McCall and Alberto Moraglio and Alison Motsinger-Reif and Frank Neumann and Gabriela Ochoa and Gustavo Olague and Yew-Soon Ong and Michael E. Palmer and Gisele Lobo Pappa and Konstantinos E. Parsopoulos and Thomas Schmickl and Stephen L. Smith and Christine Solnon and Thomas Stuetzle and El-Ghazali Talbi and Daniel Tauritz and Leonardo Vanneschi editors, GECCO '13: Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, pages 1077-1084, Amsterdam, The Netherlands, 2013. ACM. details

  51. Garnett Wilson and Derek Leblanc and Wolfgang Banzhaf. Using Sector Information with Linear Genetic Programming for Intraday Equity Price Trend Analysis. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 1071-1078, Brisbane, Australia, 2012. details

  52. Ting Hu and Joshua Payne and Jason Moore and Wolfgang Banzhaf. Robustness, Evolvability, and Accessibility in Linear Genetic Programming. In Sara Silva and James A. Foster and Miguel Nicolau and Mario Giacobini and Penousal Machado editors, Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621, pages 13-24, Turin, Italy, 2011. Springer Verlag. details

  53. Lidia Yamamoto and Wolfgang Banzhaf and Pierre Collet. Evolving Reaction-Diffusion Systems on GPU. In Luis Antunes and Helena Sofia Pinto editors, Proceedings 15th Portuguese Conference on Artificial Intelligence, EPIA 2011, volume 7026, pages 208-223, Lisbon, Portugal, 2011. Springer. details

  54. Shelly Xiaonan Wu and Wolfgang Banzhaf. Rethinking multilevel selection in genetic programming. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pages 1403-1410, Dublin, Ireland, 2011. ACM. Best paper. details

  55. Garnett Wilson and Derek Leblanc and Wolfgang Banzhaf. Stock trading using linear genetic programming with multiple time frames. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pages 1667-1674, Dublin, Ireland, 2011. ACM. details

  56. Simon Harding and Julian F. Miller and Wolfgang Banzhaf. SMCGP2: finding algorithms that approximate numerical constants using quaternions and complex numbers. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, pages 197-198, Dublin, Ireland, 2011. ACM. details

  57. Simon Harding and Wolfgang Banzhaf. Implementing cartesian genetic programming classifiers on graphics processing units using GPU.NET. In Simon Harding and W. B. Langdon and Man Leung Wong and Garnett Wilson and Tony Lewis editors, GECCO 2011 Computational intelligence on consumer games and graphics hardware (CIGPU), pages 463-470, Dublin, Ireland, 2011. ACM. details

  58. Simon Harding and Julian F. Miller and Wolfgang Banzhaf. SMCGP2: self modifying cartesian genetic programming in two dimensions. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pages 1491-1498, Dublin, Ireland, 2011. ACM. details

  59. Garnett Wilson and Wolfgang Banzhaf. Interday and Intraday Stock Trading Using Probabilistic Adaptive Mapping Developmental Genetic Programming and Linear Genetic Programming. In Natural Computing in Computational Finance, 2010. Springer. details

  60. Garnett Wilson and Wolfgang Banzhaf. Interday foreign exchange trading using linear genetic programming. In Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 1139-1146, Portland, Oregon, USA, 2010. ACM. details

  61. Garnett Wilson and Wolfgang Banzhaf. Fast and effective predictability filters for stock price series using linear genetic programming. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  62. Miguel Nicolau and Marc Schoenauer and Wolfgang Banzhaf. Evolving Genes to Balance a Pole. In Anna Isabel Esparcia-Alcazar and Aniko Ekart and Sara Silva and Stephen Dignum and A. Sima Uyar editors, Proceedings of the 13th European Conference on Genetic Programming, EuroGP 2010, volume 6021, pages 196-207, Istanbul, 2010. Springer. details

  63. Simon Harding and Julian F. Miller and Wolfgang Banzhaf. Self modifying cartesian genetic programming: finding algorithms that calculate pi and e to arbitrary precision. In Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 579-586, Portland, Oregon, USA, 2010. ACM. details

  64. Simon L. Harding and Wolfgang Banzhaf. Distributed Genetic Programming on GPUs using CUDA. In Ignacio Hidalgo and Francisco Fernandez and Juan Lanchares editors, Workshop on Parallel Architectures and Bioinspired Algorithms, pages 1-10, Raleigh, NC, USA, 2009. Universidad Complutense de Madrid. details

  65. Garnett Wilson and Wolfgang Banzhaf. Prediction of Interday Stock Prices using Developmental and Linear Genetic Programming. In Mario Giacobini and Ivanoe De Falco and Marc Ebner editors, Applications of Evolutionary Computing, EvoWorkshops2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoPhD, EvoSTOC, EvoTRANSLOG, volume 5484, pages 172-181, Tubingen, Germany, 2009. Springer Verlag. details

  66. Taras Kowaliw and Wolfgang Banzhaf and Nawwaf Kharma and Simon Harding. Evolving Novel Image Features Using Genetic Programming-Based Image Transforms. In Andy Tyrrell editor, 2009 IEEE Congress on Evolutionary Computation, pages 2502-2507, Trondheim, Norway, 2009. IEEE Press. details

  67. Ting Hu and Wolfgang Banzhaf. The Role of Population Size in Rate of Evolution in Genetic Programming. In Leonardo Vanneschi and Steven Gustafson and Alberto Moraglio and Ivanoe De Falco and Marc Ebner editors, Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009, volume 5481, pages 85-96, Tuebingen, 2009. Springer. details

  68. Simon Harding and Julian Miller and Wolfgang Banzhaf. Self Modifying Cartesian Genetic Programming: Fibonacci, Squares, Regression and Summing. In Leonardo Vanneschi and Steven Gustafson and Alberto Moraglio and Ivanoe De Falco and Marc Ebner editors, Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009, volume 5481, pages 133-144, Tuebingen, 2009. Springer. details

  69. S. Harding and J. F. Miller and W. Banzhaf. Self Modifying Cartesian Genetic Programming: Parity. In Andy Tyrrell editor, 2009 IEEE Congress on Evolutionary Computation, pages 285-292, Trondheim, Norway, 2009. IEEE Press. details

  70. Garnett Carl Wilson and Wolfgang Banzhaf. Deployment of CPU and GPU-based genetic programming on heterogeneous devices. In Anna I. Esparcia and Ying-ping Chen and Gabriela Ochoa and Ender Ozcan and Marc Schoenauer and Anne Auger and Hans-Georg Beyer and Nikolaus Hansen and Steffen Finck and Raymond Ros and Darrell Whitley and Garnett Wilson and Simon Harding and W. B. Langdon and Man Leung Wong and Laurence D. Merkle and Frank W. Moore and Sevan G. Ficici and William Rand and Rick Riolo and Nawwaf Kharma and William R. Buckley and Julian Miller and Kenneth Stanley and Jaume Bacardit and Will Browne and Jan Drugowitsch and Nicola Beume and Mike Preuss and Stephen L. Smith and Stefano Cagnoni and Jim DeLeo and Alexandru Floares and Aaron Baughman and Steven Gustafson and Maarten Keijzer and Arthur Kordon and Clare Bates Congdon and Laurence D. Merkle and Frank W. Moore editors, GECCO Workshop on Computational intelligence on consumer games and graphics hardware (CIGPU-2009), pages 2531-2538, Montreal, 2009. ACM. details

  71. Garnett Carl Wilson and Wolfgang Banzhaf. Soft memory for stock market analysis using linear and developmental genetic programming. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1633-1640, Montreal, 2009. ACM. details

  72. Ting Hu and Wolfgang Banzhaf. Neutrality and variability: two sides of evolvability in linear genetic programming. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 963-970, Montreal, 2009. ACM. details

  73. Simon Harding and Julian Francis Miller and Wolfgang Banzhaf. Evolution, development and learning using self-modifying cartesian genetic programming. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 699-706, Montreal, 2009. ACM. details

  74. William B. Langdon and Wolfgang Banzhaf. A SIMD Interpreter for Genetic Programming on GPU Graphics Cards. In Michael O'Neill and Leonardo Vanneschi and Steven Gustafson and Anna Isabel Esparcia Alcazar and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino editors, Proceedings of the 11th European Conference on Genetic Programming, EuroGP 2008, volume 4971, pages 73-85, Naples, 2008. Springer. details

  75. Garnett Carl Wilson and Wolfgang Banzhaf. A Comparison of Cartesian Genetic Programming and Linear Genetic Programming. In Michael O'Neill and Leonardo Vanneschi and Steven Gustafson and Anna Isabel Esparcia Alcazar and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino editors, Proceedings of the 11th European Conference on Genetic Programming, EuroGP 2008, volume 4971, pages 182-193, Naples, 2008. Springer. details

  76. Garnett Wilson and Wolfgang Banzhaf. Linear Genetic Programming GPGPU on Microsoft's Xbox 360. In Jun Wang editor, 2008 IEEE World Congress on Computational Intelligence, pages 378-385, Hong Kong, 2008. IEEE Press. details

  77. Ting Hu and Wolfgang Banzhaf. Measuring rate of evolution in genetic programming using amino acid to synonymous substitution ratio ka/ks. In Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1337-1338, Atlanta, GA, USA, 2008. ACM. details

  78. Ting Hu and Wolfgang Banzhaf. Nonsynonymous to Synonymous Substitution Ratio ka/ks: Measurement for Rate of Evolution in Evolutionary Computation. In Gunter Rudolph and Thomas Jansen and Simon Lucas and Carlo Poloni and Nicola Beume editors, Parallel Problem Solving from Nature - PPSN X, volume 5199, pages 448-457, Dortmund, 2008. Springer. details

  79. Simon Harding and Wolfgang Banzhaf. Fast genetic programming on GPUs. In Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar editors, Proceedings of the 10th European Conference on Genetic Programming, volume 4445, pages 90-101, Valencia, Spain, 2007. Springer. details

  80. Nelishia Pillay and Wolfgang Banzhaf. A Genetic Programming Approach to the Generation of Hyper-Heuristics for the Uncapacitated Examination Timetabling Problem. In Jos\'e Neves and Manuel Filipe Santos and Jos\'e Machado editors, 13th Portuguese Conference on Aritficial Intelligence, EPIA 2007, pages 223-234, Guimar\~aes, Portugal, 2007. Springer. details

  81. Simon L. Harding and Julian F. Miller and Wolfgang Banzhaf. Self-modifying cartesian genetic programming. In Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors, GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 1, pages 1021-1028, London, 2007. ACM Press. details

  82. S. L. Harding and W. Banzhaf. Fast Genetic Programming and Artificial Developmental Systems on GPUs. In 21st International Symposium on High Performance Computing Systems and Applications (HPCS'07), page 2, Canada, 2007. IEEE Computer Society. details

  83. Andr\'e Leier and P. Dwight Kuo and Wolfgang Banzhaf and Kevin Burrage. Evolving noisy oscillatory dynamics in genetic regulatory networks. In Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art editors, Proceedings of the 9th European Conference on Genetic Programming, volume 3905, pages 290-299, Budapest, Hungary, 2006. Springer. details

  84. William B. Langdon and Wolfgang Banzhaf. Repeated Patterns in Tree Genetic Programming. In Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. van Hemert and Marco Tomassini editors, Proceedings of the 8th European Conference on Genetic Programming, volume 3447, pages 190-202, Lausanne, Switzerland, 2005. Springer. details

  85. Christian Lasarczyk and Wolfgang Banzhaf. An Algorithmic Chemistry for Genetic Programming. In Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. van Hemert and Marco Tomassini editors, Proceedings of the 8th European Conference on Genetic Programming, volume 3447, pages 1-12, Lausanne, Switzerland, 2005. Springer. details

  86. Wolfgang Banzhaf. Challenging the Program Counter. In Susan Stepney and Stephen Emmott editors, The Grand Challenge in Non-Classical Computation: International Workshop, York, UK, 2005. details

  87. Christian W. G. Lasarczyk and Wolfgang Banzhaf. Total synthesis of algorithmic chemistries. In Hans-Georg Beyer and Una-May O'Reilly and Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and Eric W. Bonabeau and Erick Cantu-Paz and Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and Edwin D. de Jong and Hod Lipson and Xavier Llora and Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and Terence Soule and Andy M. Tyrrell and Jean-Paul Watson and Eckart Zitzler editors, GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, volume 2, pages 1635-1640, Washington DC, USA, 2005. ACM Press. details

  88. W. B. Langdon and W. Banzhaf. Repeated Sequences in Linear GP Genomes. In Maarten Keijzer editor, Late Breaking Papers at the 2004 Genetic and Evolutionary Computation Conference, Seattle, Washington, USA, 2004. AAAI. details

  89. Jens Ziegler and Wolfgang Banzhaf. Decreasing the Number of Evaluations in Evolutionary Algorithms by using a Meta-Model of the Fitness Function. In Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of EuroGP'2003, volume 2610, pages 264-275, Essex, 2003. Springer-Verlag. details

  90. M. Rosskopf and U. Feldkamp and W. Banzhaf. Classification of Leukemia Classes by GP-based DNA-Chip Analysis. In Alwyn M. Barry editor, GECCO 2003: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference, pages 81-82, Chigaco, 2003. AAAI. details

  91. Jens Niehaus and Wolfgang Banzhaf. More on Computational Effort Statistics for Genetic Programming. In Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of EuroGP'2003, volume 2610, pages 164-172, Essex, 2003. Springer-Verlag. details

  92. Andr\'e Leier and Wolfgang Banzhaf. Evolving Hogg's Quantum Algorithm Using Linear-Tree GP. In E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors, Genetic and Evolutionary Computation -- GECCO-2003, volume 2723, pages 390-400, Chicago, 2003. Springer-Verlag. details

  93. Markus Brameier and Wolfgang Banzhaf. Neutral Variations Cause Bloat in Linear GP. In Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of EuroGP'2003, volume 2610, pages 286-296, Essex, 2003. Springer-Verlag. details

  94. Andre Leier and Wolfgang Banzhaf. Exploring the search space of quantum programs. In Ruhul Sarker and Robert Reynolds and Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and Tom Gedeon editors, Proceedings of the 2003 Congress on Evolutionary Computation CEC2003, volume 1, pages 170-177, Canberra, 2003. IEEE Press. details

  95. Wolfgang Kantschik and Wolfgang Banzhaf. Linear-Graph GP---A new GP Structure. In James A. Foster and Evelyne Lutton and Julian Miller and Conor Ryan and Andrea G. B. Tettamanzi editors, Genetic Programming, Proceedings of the 5th European Conference, EuroGP 2002, volume 2278, pages 83-92, Kinsale, Ireland, 2002. Springer-Verlag. details

  96. R. Gross and K. Albrecht and W. Kantschik and W. Banzhaf. Evolving Chess Playing Programs. In W. B. Langdon and E. Cant\'u-Paz and K. Mathias and R. Roy and D. Davis and R. Poli and K. Balakrishnan and V. Honavar and G. Rudolph and J. Wegener and L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and E. Burke and N. Jonoska editors, GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, pages 740-747, New York, 2002. Morgan Kaufmann Publishers. details

  97. Jens Busch and Jens Ziegler and Wolfgang Banzhaf and Andree Ross and Daniel Sawitzki and Christian Aue. Automatic Generation of Control Programs for Walking Robots Using Genetic Programming. In James A. Foster and Evelyne Lutton and Julian Miller and Conor Ryan and Andrea G. B. Tettamanzi editors, Genetic Programming, Proceedings of the 5th European Conference, EuroGP 2002, volume 2278, pages 258-267, Kinsale, Ireland, 2002. Springer-Verlag. details

  98. Markus Brameier and Wolfgang Banzhaf. Explicit Control of Diversity and Effective Variation Distance in Linear Genetic Programming. In James A. Foster and Evelyne Lutton and Julian Miller and Conor Ryan and Andrea G. B. Tettamanzi editors, Genetic Programming, Proceedings of the 5th European Conference, EuroGP 2002, volume 2278, pages 37-49, Kinsale, Ireland, 2002. Springer-Verlag. details

  99. Jens Ziegler and Jan Barnholt and Jens Busch and Wolfgang Banzhaf. Automatic evolution of control programs for a small humanoid walking robot. In Philippe Bidaud and Faiz Ben Amar editors, Climbing and Walking Robots and the Support Technologies for Mobile Machines: Proceedings of the 5th International Conference (CLAWAR 2002), pages 109-116, Bury St. Edmunds, UK, 2002. Professional Engineering Publishing, publishers to the Institute of Mechanical Engineers. details

  100. Jens Niehaus and Wolfgang Banzhaf. Adaption of Operator Probabilities in Genetic Programming. In Julian F. Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon editors, Genetic Programming, Proceedings of EuroGP'2001, volume 2038, pages 325-336, Lake Como, Italy, 2001. Springer-Verlag. details

  101. Robert E. Keller and Wolfgang Banzhaf. Evolution of Genetic Code on a Hard Problem. In Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pages 50-56, San Francisco, California, USA, 2001. Morgan Kaufmann. details

  102. Wolfgang Kantschik and Wolfgang Banzhaf. Linear-Tree GP and its comparison with other GP structures. In Julian F. Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon editors, Genetic Programming, Proceedings of EuroGP'2001, volume 2038, pages 302-312, Lake Como, Italy, 2001. Springer-Verlag. details

  103. Jens Ziegler and Krister Wolff and Peter Nordin and Wolfgang Banzhaf. Constructing a small humanoid walking robot as a platform for the genetic evolution of walking. In Ulrich R\"uckert and Joaquin Sitte and Ulf Witkowski editors, Proceedings of the 5th International Heinz Nixdorf Symposium: Autonomous Minirobots for Research and Edutainment, pages 51-59, 2001. Heinz Nixdorf Institute. details

  104. Jens Ziegler and Wolfgang Banzhaf. Evolving a ``nose'' for a robot. In Evolution of Sensors in Nature, Hardware and Simulation, pages 226-230, Las Vegas, Nevada, USA, 2000. details

  105. W. B. Langdon and W. Banzhaf. Genetic Programming Bloat without Semantics. In Marc Schoenauer and Kalyanmoy Deb and G\"unter Rudolph and Xin Yao and Evelyne Lutton and Juan Julian Merelo and Hans-Paul Schwefel editors, Parallel Problem Solving from Nature - PPSN VI 6th International Conference, volume 1917, pages 201-210, Paris, France, 2000. Springer Verlag. details

  106. Peter Nordin and Wolfgang Banzhaf and Frank D. Francone. Compression of Effective Size in Genetic Programming. In Thomas Haynes and William B. Langdon and Una-May O'Reilly and Riccardo Poli and Justinian Rosca editors, Foundations of Genetic Programming, pages 57-60, Orlando, Florida, USA, 1999. details

  107. Peter Nordin and Frank Hoffmann and Frank D. Francone and Markus Brameier and Wolfgang Banzhaf. AIM-GP and Parallelism. In Peter J. Angeline and Zbyszek Michalewicz and Marc Schoenauer and Xin Yao and Ali Zalzala editors, Proceedings of the Congress on Evolutionary Computation, volume 2, pages 1059-1066, Mayflower Hotel, Washington D.C., USA, 1999. IEEE Press. details

  108. Robert E. Keller and Wolfgang Banzhaf. The Evolution of Genetic Code in Genetic Programming. In Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 1077-1082, Orlando, Florida, USA, 1999. Morgan Kaufmann. details

  109. Wolfgang Kantschik and Peter Dittrich and Markus Brameier and Wolfgang Banzhaf. Meta-Evolution in Graph GP. In Riccardo Poli and Peter Nordin and William B. Langdon and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'99, volume 1598, pages 15-28, Goteborg, Sweden, 1999. Springer-Verlag. details

  110. Frank D. Francone and Markus Conrads and Wolfgang Banzhaf and Peter Nordin. Homologous Crossover in Genetic Programming. In Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 1021-1026, Orlando, Florida, USA, 1999. Morgan Kaufmann. details

  111. Peter Dittrich and Andre Skusa and Wolfgang Kantschik and Wolfgang Banzhaf. Dynamical Properties of the Fitness Landscape of a GP Controlled Random Morphology Robot. In Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 1002-1008, Orlando, Florida, USA, 1999. Morgan Kaufmann. details

  112. Markus Brameier and Frank Hoffmann and Peter Nordin and Wolfgang Banzhaf and Frank Francone. Parallel Machine Code Genetic Programming. In Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, page 1228, Orlando, Florida, USA, 1999. Morgan Kaufmann. details

  113. Stefan Klahold and Steffen Frank and Robert E. Keller and Wolfgang Banzhaf. Exploring the Possibilites and Restrictions of Genetic Programming in Java Bytecode. In John R. Koza editor, Late Breaking Papers at the Genetic Programming 1998 Conference, pages 120-124, University of Wisconsin, Madison, Wisconsin, USA, 1998. Stanford University Bookstore. details

  114. Robert E. Keller and Wolfgang Banzhaf and Klaus Weinert and Jorn Mehnen. CAD Surface Reconstruction from Digitized 3D Point Data with Genetic Programming. In John R. Koza editor, Late Breaking Papers at the Genetic Programming 1998 Conference, pages 106-112, University of Wisconsin, Madison, Wisconsin, USA, 1998. Stanford University Bookstore. details

  115. Peter Dittrich and Andreas Burgel and Wolfgang Banzhaf. Learning to Move a Robot with Random Morphology. In Phil Husbands and Jean-Arcady Meyer editors, Proceedings of the First European Workshop on Evolutionary Robotics, volume 1468, pages 165-178, Paris, 1998. Springer-Verlag. details

  116. Markus Conrads and Peter Nordin and Wolfgang Banzhaf. Speech Sound Discrimination With Genetic Programming. In Wolfgang Banzhaf and Riccardo Poli and Marc Schoenauer and Terence C. Fogarty editors, Proceedings of the First European Workshop on Genetic Programming, volume 1391, pages 113-129, Paris, 1998. Springer-Verlag. details

  117. P. Nordin and W. Banzhaf and F. D. Francone. Introns in Nature and in Simulated Structure Evolution. In Dan Lundh and Bjorn Olsson and Ajit Narayanan editors, Bio-Computation and Emergent Computation, Skovde, Sweden, 1997. World Scientific Publishing. details

  118. Peter Nordin and Wolfgang Banzhaf. Genetic Reasoning Evolving Proofs with Genetic Search. In John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, pages 255-260, Stanford University, CA, USA, 1997. Morgan Kaufmann. details

  119. Wolfgang Banzhaf and Peter Nordin and Markus Olmer. Generating Adaptive Behavior for a Real Robot using Function Regression within Genetic Programming. In John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, pages 35-43, Stanford University, CA, USA, 1997. Morgan Kaufmann. details

  120. Markus Olmer and Peter Nordin and Wolfgang Banzhaf. Evolving Real-time Behavior Modules for a real Robot with GP. In M. Jamshidi and F. Pin and P. Dauchez editors, Proceedings of the 6th international symposium on robotics and manufacturing, ISRAM-96, pages 675-680, Montpellier, France, 1996. Asme Press. details

  121. Peter Nordin and Wolfgang Banzhaf. Programmatic Compression of Images and Sound. In John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 345-350, Stanford University, CA, USA, 1996. MIT Press. details

  122. Robert E. Keller and Wolfgang Banzhaf. Genetic Programming using Genotype-Phenotype Mapping from Linear Genomes into Linear Phenotypes. In Genetic Programming 1996: Video Proceedings of the First Annual Conference, Stanford University, CA, USA, 1996. Sound Photo Synthesis. details

  123. Robert E. Keller and Wolfgang Banzhaf. Genetic Programming using Genotype-Phenotype Mapping from Linear Genomes into Linear Phenotypes. In John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 116-122, Stanford University, CA, USA, 1996. MIT Press. details

  124. Frank D. Francone and Peter Nordin and Wolfgang Banzhaf. Benchmarking the Generalization Capabilities of a Compiling Genetic programming System using Sparse Data Sets. In John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 72-80, Stanford University, CA, USA, 1996. MIT Press. details

  125. Wolfgang Banzhaf and Frank D. Francone and Peter Nordin. The Effect of Extensive Use of the Mutation Operator on Generalization in Genetic Programming Using Sparse Data Sets. In Hans-Michael Voigt and Werner Ebeling and Ingo Rechenberg and Hans-Paul Schwefel editors, Parallel Problem Solving from Nature IV, Proceedings of the International Conference on Evolutionary Computation, volume 1141, pages 300-309, Berlin, Germany, 1996. Springer Verlag. details

  126. Peter Nordin and Wolfgang Banzhaf. Genetic Programming Controlling a Miniature Robot. In E. V. Siegel and J. R. Koza editors, Working Notes for the AAAI Symposium on Genetic Programming, pages 61-67, MIT, Cambridge, MA, USA, 1995. AAAI. details

  127. Peter Nordin and Frank Francone and Wolfgang Banzhaf. Explicitly Defined Introns and Destructive Crossover in Genetic Programming. In Justinian P. Rosca editor, Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications, pages 6-22, Tahoe City, California, USA, 1995. details

  128. Peter Nordin and Wolfgang Banzhaf. Evolving Turing-Complete Programs for a Register Machine with Self-modifying Code. In Larry J. Eshelman editor, Genetic Algorithms: Proceedings of the Sixth International Conference (ICGA95), pages 318-325, Pittsburgh, PA, USA, 1995. Morgan Kaufmann. details

  129. Peter Nordin and Wolfgang Banzhaf. Complexity Compression and Evolution. In Larry J. Eshelman editor, Genetic Algorithms: Proceedings of the Sixth International Conference (ICGA95), pages 310-317, Pittsburgh, PA, USA, 1995. Morgan Kaufmann. details

  130. Wolfgang Banzhaf. Genotype-Phenotype-Mapping and Neutral Variation -- A case study in Genetic Programming. In Yuval Davidor and Hans-Paul Schwefel and Reinhard M\"anner editors, Parallel Problem Solving from Nature III, volume 866, pages 322-332, Jerusalem, 1994. Springer-Verlag. details

  131. Wolfgang Banzhaf. Genetic Programming for Pedestrians. In Stephanie Forrest editor, Proceedings of the 5th International Conference on Genetic Algorithms, ICGA-93, page 628, University of Illinois at Urbana-Champaign, 1993. Morgan Kaufmann. details

Genetic Programming book chapters by Wolfgang Banzhaf

  1. Yuan Yuan and Wolfgang Banzhaf. Making Better Use of Repair Templates in Automated Program Repair: A Multi-Objective Approach. In Wolfgang Banzhaf and Betty H. C. Cheng and Kalyanmoy Deb and Kay E. Holekamp and Richard E. Lenski and Charles Ofria and Robert T. Pennock and William F. Punch and Danielle J. Whittaker editors, Evolution in Action: Past, Present and Future: A Festschrift in Honor of Erik D. Goodman, chapter 26, pages 385-407. Springer, 2020. details

  2. Wolfgang Banzhaf. Some Remarks on Code Evolution with Genetic Programming. In Susan Stepney and Andrew Adamatzky editors, Inspired by Nature: Essays Presented to Julian F. Miller on the Occasion of his 60th Birthday, volume 28 of Emergence, Complexity and Computation, chapter 6, pages 145-156. Springer, 2017. details

  3. Wolfgang Banzhaf. Evolutionary Computation and Genetic Programming. In Akhlesh Lakhtakia and Raul Jose Martin-Palma editors, Engineered Biomimicry, chapter 17, pages 429-447. Elsevier, Boston, 2013. details

  4. Simon Harding and W. Banzhaf. Optimizing Shape Design with Distributed Parallel Genetic Programming on GPUs. In Francisco Fernandez de Vega and Jose Ignacio Hidalgo Perez and Juan Lanchares editors, Parallel Architectures and Bioinspired Algorithms, volume 415 of Studies in Computational Intelligence, chapter 2, pages 51-75. Springer, 2012. details

  5. Lukas Sekanina and Simon L. Harding and Wolfgang Banzhaf and Taras Kowaliw. Image Processing and CGP. In Julian F. Miller editor, Cartesian Genetic Programming, chapter 6, pages 181-215. Springer, 2011. details

  6. Simon L. Harding and Wolfgang Banzhaf. Hardware Acceleration for CGP: Graphics Processing Units. In Julian F. Miller editor, Cartesian Genetic Programming, chapter 8, pages 231-253. Springer, 2011. details

  7. Simon L. Harding and Julian F. Miller and Wolfgang Banzhaf. Self-Modifying Cartesian Genetic Programming. In Julian F. Miller editor, Cartesian Genetic Programming, chapter 4, pages 101-124. Springer, 2011. details

  8. Shelly X. Wu and Wolfgang Banzhaf. The Use of Evolutionary Computation in Knowledge Discovery: The Example of Intrusion Detection Systems. In Satchidananda Dehuri and Sung-Bae Cho editors, Knowledge Mining using Intelligent Agents, volume 6 of Advances in Computer Science and Engineering, chapter 2, pages 27-59. WorldSciBook, 2010. details

  9. Simon Harding and Wolfgang Banzhaf and Julian F. Miller. A Survey of Self Modifying Cartesian Genetic Programming. In Rick Riolo and Trent McConaghy and Ekaterina Vladislavleva editors, Genetic Programming Theory and Practice VIII, volume 8 of Genetic and Evolutionary Computation, chapter 6, pages 91-107. Springer, Ann Arbor, USA, 2010. details

  10. Garnett Wilson and Wolfgang Banzhaf. Algorithmic Trading with Developmental and Linear Genetic Programming. In Rick L. Riolo and Una-May O'Reilly and Trent McConaghy editors, Genetic Programming Theory and Practice VII, chapter 8, pages 119-134. Springer, Ann Arbor, 2009. details

  11. Wolfgang Banzhaf and Simon Harding and William B. Langdon and Garnett Wilson. Accelerating Genetic Programming through Graphics Processing Units. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice VI, chapter 15, pages 229-249. Springer, Ann Arbor, 2008. details

  12. Wolfgang Banzhaf and Andre Leier. Evolution on Neutral Networks in Genetic Programming. In Tina Yu and Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice III, volume 9 of Genetic Programming, chapter 14, pages 207-221. Springer, Ann Arbor, 2005. details

  13. Wolfgang Banzhaf and Julian Miller. The Challenge of Complexity. In Anil Menon editor, Frontiers of Evolutionary Computation, volume 11 of Genetic Algorithms And Evolutionary Computation Series, chapter 11, pages 243-260. Kluwer Academic Publishers, Boston, MA, USA, 2004. details

  14. Wolfgang Banzhaf and Christian W. G. Lasarczyk. Genetic Programming of an Algorithmic Chemistry. In Una-May O'Reilly and Tina Yu and Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice II, chapter 11, pages 175-190. Springer, Ann Arbor, 2004. details

  15. Wolfgang Banzhaf. Artificial Regulatory Networks and Genetic Programming. In Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice, chapter 4, pages 43-61. Kluwer, 2003. details

  16. Wolfgang Banzhaf and Markus Brameier and Marc Stautner and Klaus Weinert. Genetic Programming and Its Application in Machining Technology. In Hans-Paul Schwefel and Ingo Wegener and Klaus Weinert editors, Advances in Computational Intelligence: Theory and Practice, chapter 7, pages 194-241. Springer, 2003. details

  17. Julian F. Miller and Wolfgang Banzhaf. Evolving the program for a cell: from French flags to Boolean circuits. In Sanjeev Kumar and Peter J. Bentley editors, On Growth, Form and Computers, chapter 15, pages 278-301. Academic Press, 2003. details

  18. W. Banzhaf. Artificial Intelligence: Genetic Programming. In Neil J. Smelser and Paul B. Baltes editors, International Encyclopedia of the Social \& Behavioral Sciences, pages 789-792. Pergamon, Oxford, 2001. details

  19. Peter Nordin and Wolfgang Banzhaf and Frank D. Francone. Efficient Evolution of Machine Code for CISC Architectures using Instruction Blocks and Homologous Crossover. In Lee Spector and William B. Langdon and Una-May O'Reilly and Peter J. Angeline editors, Advances in Genetic Programming 3, chapter 12, pages 275-299. MIT Press, Cambridge, MA, USA, 1999. details

  20. Robert E. Keller and Wolfgang Banzhaf and Jorn Mehnen and Klaus Weinert. CAD Surface Reconstruction from Digitized 3D Point Data with a Genetic Programming/Evolution Strategy hybrid. In Lee Spector and William B. Langdon and Una-May O'Reilly and Peter J. Angeline editors, Advances in Genetic Programming 3, chapter 3, pages 41-65. MIT Press, Cambridge, MA, USA, 1999. details

  21. Wolfgang Banzhaf. Interactive Evolution. In Thomas Baeck and David B. Fogel and Zbigniew Michalewicz editors, Handbook of Evolutionary Computation, chapter section C2.9. Oxford University Press, 1997. details

  22. Peter Nordin and Frank Francone and Wolfgang Banzhaf. Explicitly Defined Introns and Destructive Crossover in Genetic Programming. In Peter J. Angeline and K. E. Kinnear, Jr. editors, Advances in Genetic Programming 2, chapter 6, pages 111-134. MIT Press, Cambridge, MA, USA, 1996. details

  23. Jeanine Graf and Wolfgang Banzhaf. Interactive Evolution for Simulated Natural Evolution. In Jean-Marc Alliot and Evelyne Lutton and Edmund Ronald and Marc Schoenauer and Dominique Snyers editors, Artificial Evolution, volume 1063 of LNCS, pages 259-272. Springer Verlag, 1996. details

Genetic Programming technical reports by Wolfgang Banzhaf

  1. W. B. Langdon and W. Banzhaf. Faster Genetic Programming GPquick via multicore and Advanced Vector Extensions. Technical report, RN/19/01, University College, London, London, UK, 2019. details

  2. Ting Hu and Wolfgang Banzhaf. Evolvability and Acceleration in Evolutionary Computation. Technical report, 2008-04, Department of Computer Science, Memorial University of Newfoundland, St. John's, NL, Canada A1B 3X5, 2008. details

  3. Markus Brameier and Wolfgang Banzhaf. Explicit Control of Diversity and Effective Variation Distance in Linear Genetic Programming. Technical report, Dortmund University, 2002. details

  4. Markus Brameier and Wolfgang Banzhaf. Effective Linear Genetic Programming. Technical report, Reihe CI 108/01, SFB 531, Department of Computer Science, University of Dortmund, 44221 Dortmund, Germany, 2001. details

  5. Wolfgang Banzhaf and Dirk Banscherus and Peter Dittrich. Hierarchical Genetic Programming Using Local Modules. Technical Report , 50/98, University of Dortmund, Dortmund, Germany, 1998. details

  6. Markus Brameier and Wolfgang Banzhaf. A Comparison of Genetic Programming and Neural Networks in Medical Data Analysis. Reihe , CI 43/98, SFB 531, Dortmund University, Germany, 1998. details

  7. Markus Brameier and Wolfgang Kantschik and Peter Dittrich and Wolfgang Banzhaf. SYSGP -- A C++ library of different GP variants. Technical Report , CI-98/48, Collaborative Research Center 531, University of Dortmund, Germany, 1998. details

  8. Robert E. Keller and Wolfgang Banzhaf and Jorn Mehnen and Klaus Weinert. Surface Reconstruction from 3D Point Data with a Genetic Programming/Evolution Strategy hybrid. Technical report, CI-44/98, Computer Science, Universitaet Dortmund, Germany, 1998. details

  9. Peter Nordin and Wolfgang Banzhaf. Real Time Evolution of Behavior and a World Model for a Miniature Robot using Genetic Programming. Technical Report , SysReport 5/95, Department of Computer SCience, University of Dortmund, 44221 Dormund, Germany, 1995. details

  10. Wolfgang Banzhaf. Genetic Programming for Pedestrians. MERL Technical Report , TR93-03, Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA, 1993. details

Genetic Programming other entries for Wolfgang Banzhaf

  1. Wolfgang Banzhaf and Illya Bakurov. On The Nature Of The Phenotype In Tree Genetic Programming. 2024. details

  2. Nathan Haut and Wolfgang Banzhaf and Bill Punch. Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression. 2023. details

  3. Hannah Peeler and Shuyue Stella Li and Andrew N. Sloss and Kenneth N. Reid and Yuan Yuan and Wolfgang Banzhaf. Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework. 2022. details

  4. Ting Hu and Gabriela Ochoa and Wolfgang Banzhaf. Phenotype Search Trajectory Networks for Linear Genetic Programming. 2022. details

  5. Iliya Miralavy and Alexander Bricco and Assaf A. Gilad and Wolfgang Banzhaf. Using Genetic Programming to Predict and Optimize Protein Function. 2022. details

  6. Vinicius V. Melo and Danilo Vasconcellos Vargas and Wolfgang Banzhaf. Batch Tournament Selection for Genetic Programming: The quality of lexicase, the speed of Tournament. 2019. 1904.08658. details

  7. Emily L. Dolson and Wolfgang Banzhaf and Charles Ofria. Ecological theory provides insights about evolutionary computation. 2018. not peer-reviewed. details

  8. Yuan Yuan and Wolfgang Banzhaf. ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming. 2017. details

  9. Jon Timmis and Martyn Amos and Wolfgang Banzhaf and Andy Tyrrell. ``Going back to our roots'': second generation biocomputing. 2005. Submitted to the International Journal of Unconventional Computing. details

  10. Wolfgang Banzhaf. Artificial Intelligence: Genetic Programming. 2000. Contract no: 20851A2/2/102. details

  11. Peter Nordin and Wolfgang Banzhaf. Computer implemented machine learning method and system. 2000. details

  12. Frank D. Francone and Peter Nordin and Wolfgang Banzhaf and Larry M. Deschaine. Automatic Induction of Machine Code (AIM) Learning Real Time Adaptive Control Strategies. 2000. details

Genetic Programming etc Wolfgang Banzhaf