Genetic Programming Bibliography entries for Erik Goodman

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GP coauthors/coeditors: Dirk V Arnold, Mengjie Zhang, Ryan J Urbanowicz, Muhammad Iqbal, Kamran Shafi, Forrest Stonedahl, William Michael Rand, Tea Tusar, Boris Naujoks, David Walker, Richard Everson, Jonathan E Fieldsend, Stefan Wagner, Michael Affenzeller, Zhun Fan, Yaochu Jin, Hod Lipson, Alexandru-Adrian Tantar, Emilia Tantar, Peter A N Bosman, Kent McClymont, Kevin Sim, Gabriela Ochoa, Ed Keedwell, Anna Esparcia-Alcazar, Frank William Moore, Jaume Bacardit, Ignacio Arnaldo Lucas, Kalyan Veeramachaneni, Una-May O'Reilly, Stephen L Smith, Stefano Cagnoni, Robert M Patton, Steven M Gustafson, Ekaterina (Katya) Vladislavleva, John R Woodward, Jerry Swan, Earl Barr, Krzysztof Krawiec, Chris Simons, John A Clark, Dirk Sudholt, Aniko Ekart, Carola Doerr, Anne Auger, Wolfgang Banzhaf, Leigh Sheneman, Leonardo Trujillo, William P Worzel, Oliver Chikumbo, Kalyanmoy Deb, Jean-Francois Dupuis, Jianjun Hu, Kisung Seo, Ronald C Rosenberg, Baihai Zhang, Jiachuan Wang, Janis P Terpenny, Sofiane Achiche, Francisco Fernandez de Vega, Gustavo Olague, Francisco Chavez de la O, Daniel Lanza Garcia, Jose Armando Menendez-Clavijo, Axel Martinez, Hiram A Firpi, Javier Echauz, Shaobo Li, Min Pei, Rondal Rosenberg, Xiwei Zhong, Xiangdong Peng, Zhichao Lu, Ian Whalen, Yashish Dhebar, Vishnu Naresh Boddeti, William F Punch, Douglas Zongker, Michael L Raymer, L A Kuhn, Matt Ryerkerk, Ron Averill, Soohwan Hyun, Lee Spector, Annie S Wu, William B Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H Garzon, Edmund Burke,

Genetic Programming Articles by Erik Goodman

  1. Erik Goodman. 21st Human-Competitive Results Awards (``Humies'') 2024. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 17(3) 2024. details

  2. Erik Goodman. The 2023 Humies Awards. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 16(3) 2023. details

  3. Erik Goodman. 2022 Humies Winners Awarded at GECCO in Boston!. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 15(3) 2022. details

  4. 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

  5. Erik Goodman. 2021 Humies Winners Awarded at GECCO!. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 14(3):2-5, 2021. details

  6. Erik Goodman. Humies 2020 Competition Yields Spectacular Winners!. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 13(3):4-7, 2020. details

  7. 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

  8. Matt Ryerkerk and Ron Averill and Kalyanmoy Deb and Erik Goodman. A survey of evolutionary algorithms using metameric representations. Genetic Programming and Evolvable Machines, 20(4):441-478, 2019. details

  9. Erik Goodman. Human-Competitive Results Awards - ``Humies'' 2019 - Announces Winners at GECCO. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 12(3):3-5, 2019. details

  10. Oliver Chikumbo and Erik Goodman and Kalyanmoy Deb. Triple Bottomline Many-Objective-Based Decision Making for a Land Use Management Problem. Journal of Multi-Criteria Decision Analysis, 22(3-4):133-159, 2015. details

  11. Jean-Francois Dupuis and Zhun Fan and Erik D. Goodman. Evolutionary Design of Both Topologies and Parameters of a Hybrid Dynamical System. IEEE Transactions on Evolutionary Computation, 16(3):391-405, 2012. details

  12. Kisung Seo and Soohwan Hyun and Erik D. Goodman. Genetic Programming-Based Automatic Gait Generation in Joint Space for a Quadruped Robot. Advanced Robotics, 24(15):2199-2214, 2010. details

  13. Jianjun Hu and Erik D. Goodman and Shaobo Li and Ronald Rosenberg. Automated Synthesis of Mechanical Vibration Absorbers Using Genetic Programming. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 22(3):207-217, 2008. details

  14. Zhun Fan and Jiachuan Wang and Sofiane Achiche and Erik Goodman and Ronald Rosenberg. Structured synthesis of MEMS using evolutionary approaches. Applied Soft Computing, 8(1):579-589, 2008. details

  15. Jiachuan Wang and Zhun Fan and Janis P. Terpenny and Erik D. Goodman. Cooperative body-brain coevolutionary synthesis of mechatronic systems. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 22(3):219-234, 2008. details

  16. Hiram Firpi and Erik D. Goodman and Javier Echauz. Epileptic Seizure Detection Using Genetically Programmed Artificial Features. IEEE Transactions on Biomedical Engineering, 54(2):212-224, 2007. details

  17. Hiram Firpi and Erik Goodman and Javier Echauz. On Prediction of Epileptic Seizures by Means of Genetic Programming Artificial Features. Annals of Biomedical Engineering, 34(3):515-529, 2006. details

  18. Jiachuan Wang and Zhun Fan and Janis P. Terpenny and Erik D. Goodman. Knowledge interaction with genetic programming in mechatronic systems design using bond graphs. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 35(2):172-182, 2005. details

  19. Jianjun Hu and Erik Goodman and Kisung Seo and Zhun Fan and Rondal Rosenberg. The Hierarchical Fair Competition Framework for Sustainable Evolutionary Algorithms. Evolutionary Computation, 13(2):241-277, 2005. details

  20. Kisung Seo and Zhun Fan and Jianjun Hu and Erik D. Goodman and Ronald C. Rosenberg. Toward a unified and automated design methodology for multi-domain dynamic systems using bond graphs and genetic programming. Mechatronics, 13(8-9):851-885, 2003. Computational Intelligence in Mechatronic Systems. details

  21. Kisung Seo and Jianjun Hu and Zhun Fan and Erik D. Goodman and Ronald C. Rosenberg. Automated Design Approaches for Multi-Domain Dynamic Systems Using Bond Graphs and Genetic Programming. The International Journal of Computers, Systems and Signals, 3(1):55-70, 2002. details

Genetic Programming Conference proceedings edited by Erik Goodman

Genetic Programming conference papers by Erik Goodman

  1. 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

  2. Kisung Seo and Soohwan Hyun and Erik D. Goodman. Tree-structure-aware GP operators for automatic gait generation of quadruped robot. 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-2009 Late-Breaking Papers, pages 2155-2160, Montreal, 2009. ACM. details

  3. Hiram Firpi and Erik D. Goodman and Javier Echauz. On Prediction of Epileptic Seizures by Computing Multiple Genetic Programming Artificial Features. 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 321-330, Lausanne, Switzerland, 2005. Springer. details

  4. Kisung Seo and Erik D. Goodman and Ronald C. Rosenberg. Design of air pump system using bond graph and genetic programming method. 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 2215-2216, Washington DC, USA, 2005. ACM Press. details

  5. Jianjun Hu and Xiwei Zhong and Erik D. Goodman. Open-ended robust design of analog filters using genetic programming. 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 1619-1626, Washington DC, USA, 2005. ACM Press. details

  6. Hiram Firpi and Erik Goodman and Javier Echauz. Epileptic seizure detection by means of genetically programmed artificial features. 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 1, pages 461-466, Washington DC, USA, 2005. ACM Press. details

  7. Jianjun Hu and Erik Goodman and Ronald Rosenberg. Topological search in automated mechatronic system synthesis using bond graphs and genetic programming. In Proceedings of American Control Conference ACC 2004, volume 6, pages 5628-5634, Boston, MA, USA, 2004. details

  8. Jianjun Hu and Erik Goodman. Wireless Access Point Configuration by Genetic Programming. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation, pages 1178-1184, Portland, Oregon, 2004. IEEE Press. details

  9. Zhun Fan and Erik Goodman and Jiachuan Wang and Ronald Rosenberg and Kisung Seo and Jianjun Hu. Hierarchical Evolutionary Synthesis of MEMS. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation, pages 2320-2327, Portland, Oregon, 2004. IEEE Press. details

  10. Kisung Seo and Zhun Fan and Jianjun Hu and Erik D. Goodman and Ronald C. Rosenberg. Dense and Switched Modular Primitives for Bond Graph Model Design. 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 2724, pages 1764-1775, Chicago, 2003. Springer-Verlag. details

  11. Zhun Fan and Kisung Seo and Jianjun Hu and Ronald C. Rosenberg and Erik D. Goodman. System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs. 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 2724, pages 2058-2071, Chicago, 2003. Springer-Verlag. details

  12. Zhun Fan and Kisung Seo and Ronald C. Rosenberg and Jianjun Hu and Erik D. Goodman. Computational Synthesis of Multi-Domain Systems. In Proceedings of the 2003 AAAI Spring Symposium - Computational Synthesis: From Basic Building Blocks to High Level Functionality, pages 59-66, Stanford, California, 2003. details

  13. Jianjun Hu and Erik D. Goodman and Kisung Seo and Zhun Fan and Ronald C. Rosenberg. HFC: A Continuing EA Framework for Scalable Evolutionary Synthesis. In Proceedings of the 2003 AAAI Spring Symposium - Computational Synthesis: From Basic Building Blocks to High Level Functionality, pages 106-113, Stanford, California, 2003. AAAI press. details

  14. Jianjun Hu and Erik D. Goodman. The Hierarchical Fair Competition (HFC) Model for Parallel Evolutionary Algorithms. In David B. Fogel and Mohamed A. El-Sharkawi and Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and Mark Shackleton editors, Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pages 49-54, 2002. IEEE Press. details

  15. Jianjun Hu and Erik D. Goodman and Kisung Seo and Min Pei. Adaptive Hierarchical Fair Competition (AHFC) Model For Parallel Evolutionary Algorithms. 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 772-779, New York, 2002. Morgan Kaufmann Publishers. details

  16. Jianjun Hu and Kisung Seo and Shaobo Li and Zhun Fan and Ronald C. Rosenberg and Erik D. Goodman. Structure Fitness Sharing (SFS) For Evolutionary Design By Genetic Programming. 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 780-787, New York, 2002. Morgan Kaufmann Publishers. details

  17. Zhun Fan and Kisung Seo and Ronald C. Rosenberg and Jianjun Hu and Erik D. Goodman. Exploring Multiple Design Topologies Using Genetic Programming And Bond Graphs. 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 1073-1080, New York, 2002. Morgan Kaufmann Publishers. details

  18. Erik D. Goodman and Kisung Seo and Ronald C. Rosenberg and Zhun Fan and Jianjun Hu and Baihai Zhang. Automated Design Methodology for Mechatronic Systems Using Bond Graphs and Genetic Programming. In Proceedings 2002 NSF Design, Service and Manufacturing Grantees and Research Conference, pages 206-221, San Juan, Puerto Rico, 2002. National Science Foundation. details

  19. Kisung Seo and Erik D. Goodman and Ronald C. Rosenberg. First Steps toward Automated Design of Mechatronic Systems Using Bond Graphs and Genetic Programming. 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), page 189, San Francisco, California, USA, 2001. Morgan Kaufmann. details

  20. Zhun Fan and Jianjun Hu and Kisung Seo and Erik D. Goodman and Ronald C. Rosenberg and Baihai Zhang. Bond Graph Representation and GP for Automated Analog Filter Design. In Erik D. Goodman editor, 2001 Genetic and Evolutionary Computation Conference Late Breaking Papers, pages 81-86, San Francisco, California, USA, 2001. details

  21. M. L. Raymer and W. F. Punch and E. D. Goodman and L. A. Kuhn. Genetic Programming for Improved Data Mining: An Application to the Biochemistry of Protein Interactions. 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 375-380, Stanford University, CA, USA, 1996. MIT Press. details

Genetic Programming book chapters by Erik Goodman

  1. Jianjun Hu and Zhun Fan and Jiachuan Wang and Shaobo Li and Kisung Seo and Xiangdong Peng and Janis Terpenny and Ronald Rosenberg and Erik Goodman. GPBG: A Framework for Evolutionary Design of Multi-domain Engineering Systems Using Genetic Programming and Bond Graphs. In Philip F. Hingston and Luigi C. Barone and Zbigniew Michalewicz editors, Design by Evolution, chapter 14, pages 319-345. Springer, Berlin, Heidelberg, 2008. details

  2. Jianjun Hu and Shaobo Li and Erik D. Goodman. Evolutionary Robust Design of Analog Filters Using Genetic Programming. In Shengxiang Yang and Yew-Soon Ong and Yaochu Jin editors, Evolutionary Computation in Dynamic and Uncertain Environments, volume 51 of Studies in Computational Intelligence, chapter 21, pages 479-496. Springer, 2007. details

  3. Xiangdong Peng and Erik D. Goodman and Ronald C. Rosenberg. Robust engineering design of electronic circuits with active components using genetic programming and bond Graphs. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice V, chapter 11, pages 187-202. Springer, Ann Arbor, 2007. details

  4. Xiangdong Peng and Erik D. Goodman and Ronald C. Rosenberg. Comparison of Robustness of Three Filter Design Strategies Using Genetic Programming and Bond Graphs. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice IV, volume 5 of Genetic and Evolutionary Computation, pages 203-217. Springer, Ann Arbor, 2006. details

  5. Jianjun Hu and Ronald C. Rosenberg and Erik D. Goodman. Domain Specificity of Genetic Programming based Automated Synthesis: a Case Study with Synthesis of Mechanical Vibration Absorbers. In Tina Yu and Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice III, volume 9 of Genetic Programming, chapter 18, pages 275-290. Springer, Ann Arbor, 2005. details

  6. Zhun Fan and Jiachuan Wang and Erik Goodman. Exploring Open-Ended Design Space of Mechatronic Systems. In Vedran Kordic and Aleksandar Lazinica and Munir Merdan editors, Cutting Edge Robotics, chapter 41, pages 707-726. IntechOpen, 2005. details

  7. Jianjun Hu and Erik Goodman. Topological Synthesis of Robust Dynamic Systems by Sustainable Genetic Programming. In Una-May O'Reilly and Tina Yu and Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice II, chapter 9, pages 143-157. Springer, Ann Arbor, 2004. pages missing. details

  8. Zhun Fan and Jiachuan Wang and Kisung Seo and Jianjun Hu and Ronald Rosenberg and Janis Terpenny and Erik Goodman. Automating the Hierarchical Synthesis of MEMS Using Evolutionary Approaches. In Nadia Nedjah and Luiza de Macedo Mourelle editors, Evolvable Machines: Theory \& Practice, volume 161 of Studies in Fuzziness and Soft Computing, chapter 6, pages 129-149. Springer, Berlin, 2004. details

  9. Jianjun Hu and Erik D. Goodman and Kisung Seo. Continuous Hierarchical Fair Competition Model for Sustainable Innovation in Genetic Programming. In Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice, chapter 6, pages 81-98. Kluwer, 2003. details

  10. William F. Punch and Douglas Zongker and Erik D. Goodman. The Royal Tree Problem, a Benchmark for Single and Multiple Population Genetic Programming. In Peter J. Angeline and K. E. Kinnear, Jr. editors, Advances in Genetic Programming 2, chapter 15, pages 299-316. MIT Press, Cambridge, MA, USA, 1996. details