Genetic Programming Bibliography entries for Lukas Sekanina

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GP coauthors/coeditors: Filip Badan, Mauro Castelli, James McDermott, Mengjie Zhang, Milan Ceska, Jiri Matyas, Vojtech Mrazek, Zdenek Vasicek, Tomas Vojnar, Roland Dobai, Jan Korenek, Michaela Sikulova, Michal Wiglasz, Petr Dvoracek, Petr Fiser, Jan Schmidt, Zbysek Gajda, David Grochol, Martin Zadnik, V Kosar, Radek Hrbacek, Ting Hu, Miguel Nicolau, Martin Hurta, Stephen L Smith, Jane E Alty, Jana Schwarzerova, Thomas Naegele, Wolfram Weckwerth, Valentine Provaznik, Jakub Husa, Tadeas Juza, Ondrej Koncal, Milos Minarik, Syed Shakib Sarwar, Kaushik Roy, Marek Sys, Petr Svenda, Jiri Petrlik, Michal Pinos, Antonio Jose Sanchez-Clemente, Luis Alfonso Entrena Arrontes, Marek Sedlacek, Michal Bidlo, Tomas Martinek, James Alfred Walker, Paul Kaufmann, Marco Platzner, Simon Harding, Wolfgang Banzhaf, Taras Kowaliw, Vojtech Salajka, Ondrej Ptak, Vlastimil Kapusta, Nuno Lourenco, Muhammad Shafique, Rehan Hafiz, Muhammad Usama Javed, Sarmad Abbas, Jiri Hulva, G Komjathy, Karel Slany, Tobias Smolka, Vashek (Vaclav) Matyas, Matej Valek, Ladislav Capka, Jim Torresen, Kyrre Harald Glette, Marcus Furuholmen, Filip Vaverka,

Genetic Programming Articles by Lukas Sekanina

  1. Jakub Husa and Lukas Sekanina. Semantic mutation operator for a fast and efficient design of bent Boolean functions. Genetic Programming and Evolvable Machines, 25:Article number: 3, 2024. Online first. details

  2. Michal Pinos and Vojtech Mrazek and Lukas Sekanina. Evolutionary approximation and neural architecture search. Genetic Programming and Evolvable Machines, 23(3):351-374, 2022. Special Issue: Highlights of Genetic Programming 2021 Events. details

  3. Milan Ceska and Jiri Matyas and Vojtech Mrazek and Lukas Sekanina and Zdenek Vasicek and Tomas Vojnar. SagTree: Towards efficient mutation in evolutionary circuit approximation. Swarm and Evolutionary Computation, 69:100986, 2022. details

  4. Ting Hu and Miguel Nicolau and Lukas Sekanina. Special issue on highlights of genetic programming 2019 events. Genetic Programming and Evolvable Machines, 21(3):283-285, 2020. Guest Editorial. details

  5. Vojtech Mrazek and Lukas Sekanina and Zdenek Vasicek. Libraries of Approximate Circuits: Automated Design and Application in CNN Accelerators. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 10(4):406-418, 2020. details

  6. Milan Ceska and Jiri Matyas and Vojtech Mrazek and Lukas Sekanina and Zdenek Vasicek and Tomas Vojnar. Adaptive verifiability-driven strategy for evolutionary approximation of arithmetic circuits. Applied Soft Computing, 95:106466, 2020. details

  7. Vojtech Mrazek and Lukas Sekanina and Roland Dobai and Marek Sys and Petr Svenda. Efficient On-Chip Randomness Testing Utilizing Machine Learning Techniques. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 27(12):2734-2744, 2019. details

  8. Ting Hu and Lukas Sekanina. EuroGP 2019 Panel Discussion: What is the Killer Application of GP?. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 12(2):3-7, 2019. details

  9. Michaela Drahosova and Lukas Sekanina and Michal Wiglasz. Adaptive Fitness Predictors in Coevolutionary Cartesian Genetic Programming. Evolutionary Computation, 27(3):497-523, 2019. details

  10. Roland Dobai and Jan Korenek and Lukas Sekanina. Evolutionary design of hash function pairs for network filters. Applied Soft Computing, 56(Supplement C):173-181, 2017. details

  11. Lukas Sekanina and Zdenek Vasicek and Vojtech Mrazek. Approximate Circuits in Low-Power Image and Video Processing: The Approximate Median Filter. Radioengineering, 26(3):623-632, 2017. details

  12. Zdenek Vasicek and Lukas Sekanina. Evolutionary design of complex approximate combinational circuits. Genetic Programming and Evolvable Machines, 17(2):169-192, 2016. details

  13. Antonio J. Sanchez-Clemente and Luis Entrena and Radek Hrbacek and Lukas Sekanina. Error Mitigation Using Approximate Logic Circuits: A Comparison of Probabilistic and Evolutionary Approaches. IEEE Transactions on Reliability, 65(4):1871-1883, 2016. details

  14. D. Grochol and L. Sekanina and M. Zadnik and J. Korenek and V. Kosar. Evolutionary circuit design for fast FPGA-based classification of network application protocols. Applied Soft Computing, 38:933-941, 2016. details

  15. Zdenek Vasicek and Lukas Sekanina. Evolutionary Approach to Approximate Digital Circuits Design. IEEE Transactions on Evolutionary Computation, 19(3):432-444, 2015. details

  16. Roland Dobai and Lukas Sekanina. Low-Level Flexible Architecture with Hybrid Reconfiguration for Evolvable Hardware. ACM Transactions on Reconfigurable Technology and Systems, 8(3):20:1-20:24, 2015. details

  17. Zdenek Vasicek and Lukas Sekanina. Formal verification of candidate solutions for post-synthesis evolutionary optimization in evolvable hardware. Genetic Programming and Evolvable Machines, 12(3):305-327, 2011. Special Issue Title: Evolvable Hardware Challenges. details

  18. Lukas Sekanina and Michal Bidlo. Evolutionary Design of Arbitrarily Large Sorting Networks Using Development. Genetic Programming and Evolvable Machines, 6(3):319-347, 2005. Published online: 17 August 2005. details

Genetic Programming Conference proceedings edited by Lukas Sekanina

Genetic Programming conference papers by Lukas Sekanina

  1. Lukas Sekanina. Genetic Programming with Memory for Approximate Data Reconstruction. 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

  2. Marek Sedlacek and Lukas Sekanina. Evolution of Editing Scripts From Examples. 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 803-806, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  3. Tadeas Juza and Lukas Sekanina. GPAM: Genetic Programming with Associative Memory. In Gisele Pappa and Mario Giacobini and Zdenek Vasicek editors, EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming, volume 13986, pages 68-83, Brno, Czech Republic, 2023. Springer Verlag. details

  4. Martin Hurta and Vojtech Mrazek and Michaela Drahosova and Lukas Sekanina. MODEE-LID: Multiobjective Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. In 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS), pages 155-160, 2023. details

  5. Martin Hurta and Vojtech Mrazek and Michaela Drahosova and Lukas Sekanina. ADEE-LID: Automated Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. In 2023 Design, Automation \& Test in Europe Conference \& Exhibition (DATE), 2023. details

  6. Martin Hurta and Jana Schwarzerova and Thomas Naegele and Wolfram Weckwerth and Valentine Provaznik and Lukas Sekanina. Utilizing Genetic Programming to Enhance Polygenic Risk Score Calculation. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pages 3782-3787, 2023. details

  7. Matej Valek and Lukas Sekanina. Evolutionary Approximation in Non-Local Means Image Filters. In 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pages 2762-2769, 2022. details

  8. Martin Hurta and Michaela Drahosova and Lukas Sekanina and Stephen L. Smith and Jane E. Alty. Evolutionary Design of Reduced Precision Levodopa-Induced Dyskinesia Classifiers. In Eric Medvet and Gisele Pappa and Bing Xue editors, EuroGP 2022: Proceedings of the 25th European Conference on Genetic Programming, volume 13223, pages 85-101, Madrid, Spain, 2022. Springer Verlag. details

  9. Michal Pinos and Vojtech Mrazek and Lukas Sekanina. Evolutionary Neural Architecture Search Supporting Approximate Multipliers. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2021: Proceedings of the 24th European Conference on Genetic Programming, volume 12691, pages 82-97, Virtual Event, 2021. Springer Verlag. Best paper nomination. details

  10. Vojtech Mrazek and Lukas Sekanina and Zdenek Vasicek. Using Libraries of Approximate Circuits in Design of Hardware Accelerators of Deep Neural Networks. In 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), pages 243-247, 2020. details

  11. Jakub Husa and Lukas Sekanina. Evolving Cryptographic Boolean Functions with Minimal Multiplicative Complexity. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation (CEC), 2020. details

  12. David Grochol and Lukas Sekanina. Evolutionary Design of Hash Functions for IPv6 Network Flow Hashing. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation (CEC), 2020. details

  13. Zdenek Vasicek and Vojtech Mrazek and Lukas Sekanina. Automated Circuit Approximation Method Driven by Data Distribution. In Juergen Teich and Franco Fummi editors, 2019 Design, Automation Test in Europe Conference Exhibition (DATE), pages 96-101, Florence, 2019. IEEE. details

  14. Ondrej Koncal and Lukas Sekanina. Cartesian Genetic Programming as an Optimizer of Programs Evolved with Geometric Semantic Genetic Programming. In Lukas Sekanina and Ting Hu and Nuno Lourenco editors, EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 98-113, Leipzig, Germany, 2019. Springer Verlag. details

  15. Filip Badan and Lukas Sekanina. Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution. In Carlos Martin-Vide and Geoffrey Pond and Miguel A. Vega-Rodriguez editors, International Conference on Theory and Practice of Natural Computing, TPNC 2019, volume 11934, pages 109-121, Kingston, ON, Canada, 2019. Springer. details

  16. Michal Wiglasz and Lukas Sekanina. Cooperative Coevolutionary Approximation in HOG-based Human Detection Embedded System. In 2018 IEEE Symposium Series on Computational Intelligence (SSCI), pages 1313-1320, Bangalore, India, 2018. IEEE. details

  17. David Grochol and Lukas Sekanina. Multi-Objective Evolution of Ultra-Fast General-Purpose Hash Functions. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 187-202, Parma, Italy, 2018. Springer Verlag. details

  18. David Grochol and Lukas Sekanina. Fast Reconfigurable Hash Functions for Network Flow Hashing in FPGAs. In 2018 NASA/ESA Conference on Adaptive Hardware and Systems (AHS), pages 257-263, 2018. details

  19. Milan Ceska and Jiri Matyas and Vojtech Mrazek and Lukas Sekanina and Zdenek Vasicek and Tomas Vojnar. ADAC: Automated Design of Approximate Circuits. In Hana Chockler and Georg Weissenbacher editors, Computer Aided Verification, volume 10981, pages 612-620, Oxford, 2018. Springer. details

  20. David Grochol and Lukas Sekanina. Multi-objective evolution of hash functions for high speed networks. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 1533-1540, Donostia, San Sebastian, Spain, 2017. IEEE. details

  21. Michal Wiglasz and Lukas Sekanina. Evolutionary Approximation of Gradient Orientation Module in HOG-based Human Detection System. In Z. Jane Wang and Costas Kotropoulos and Qionghai Dai editors, 2017 IEEE Global Conference on Signal and Information Processing GlobalSIP 2017, pages 1300-1304, Montreal, 2017. IEEE Signal Processing Society. details

  22. Milos Minarik and Lukas Sekanina. On Evolutionary Approximation of Sigmoid Function for HW/SW Embedded Systems. In Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 343-358, Amsterdam, 2017. Springer Verlag. details

  23. Milan Ceska and Jiri Matyas and Vojtech Mrazek and Lukas Sekanina and Zdenek Vasicek and Tomas Vojnar. Approximating Complex Arithmetic Circuits with Formal Error Guarantees: 32-bit Multipliers Accomplished. In Iris Bahar and Sri Parameswaran editors, Proceedings of 36th IEEE/ACM International Conference On Computer Aided Design (ICCAD), pages 416-423, Irvine, CA, USA, 2017. Institute of Electrical and Electronics Engineers. details

  24. Muhammad Shafique and Rehan Hafiz and Muhammad Usama Javed and Sarmad Abbas and Lukas Sekanina and Zdenek Vasicek and Vojtech Mrazek. Adaptive and Energy-Efficient Architectures for Machine Learning: Challenges, Opportunities, and Research Roadmap. In 2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pages 627-632, Bochum, Germany, 2017. IEEE. details

  25. Zdenek Vasicek and Vojtech Mrazek and Lukas Sekanina. Towards low power approximate DCT architecture for HEVC standard. In Design, Automation Test in Europe Conference Exhibition (DATE), 2017, pages 1576-1581, Lausanne, Switzerland, 2017. IEEE. details

  26. Vojtech Mrazek and Radek Hrbacek and Zdenek Vasicek and Lukas Sekanina. EvoApprox8b: Library of Approximate Adders and Multipliers for Circuit Design and Benchmarking of Approximation Methods. In Design, Automation Test in Europe Conference Exhibition (DATE), 2017, pages 258-261, Lausanne, Switzerland, 2017. IEEE. details

  27. Filip Vaverka and Radek Hrbacek and Lukas Sekanina. Evolving component library for approximate high level synthesis. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, 2016. details

  28. Z. Vasicek and V. Mrazek and L. Sekanina. Evolutionary functional approximation of circuits implemented into FPGAs. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016. details

  29. Zdenek Vasicek and Lukas Sekanina. Search-Based Synthesis of Approximate Circuits Implemented into FPGAs. In Jason Anderson and Philip Brisk editors, 26th International Conference on Field-Programmable Logic and Applications, Lausanne, Switzerland, 2016. IEEE. details

  30. Lukas Sekanina and Zdenek Vasicek. Genetic Improvement for Approximate Computing. In George Karakonstantis and Costas Bekas and Dimitris Gizopoulos and Nikolaos Bellas editors, 2nd Workshop On Approximate Computing (WAPCO 2016), Prague, 2016. details

  31. Lukas Sekanina and Vlastimil Kapusta. Visualisation and Analysis of Genetic Records Produced by Cartesian Genetic Programming. In GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 1411-1418, Denver, Colorado, USA, 2016. ACM. details

  32. Vojtech Mrazek and Syed Shakib Sarwar and Lukas Sekanina and Zdenek Vasicek and Kaushik Roy. Design of Power-efficient Approximate Multipliers for Approximate Artificial Neural Networks. In Proceedings of the 35th International Conference on Computer-Aided Design, pages 81:1-81:7, Austin, Texas, USA, 2016. ACM. details

  33. David Grochol and Lukas Sekanina. Evolutionary Design of Fast High-quality Hash Functions for Network Applications. 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: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 901-908, Denver, USA, 2016. ACM. details

  34. David Grochol and Lukas Sekanina. Comparison of Parallel Linear Genetic Programming Implementations. In Radek Matousek editor, Proceedings of the 22nd International Conference on Soft Computing (MENDEL 2016), volume 576, pages 64-76, Brno, Czech Republic, 2016. Springer. details

  35. Petr Dvoracek and Lukas Sekanina. Evolutionary Approximation of Edge Detection Circuits. 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 19-34, Porto, Portugal, 2016. Springer Verlag. details

  36. Zdenek Vasicek and Lukas Sekanina. Evolutionary Approximation of Complex Digital Circuits. In Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors, GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1505-1506, Madrid, Spain, 2015. ACM. details

  37. Zdenek Vasicek and Lukas Sekanina. Circuit Approximation Using Single and Multi-Objective Cartesian GP. In Penousal Machado and Malcolm I. Heywood and James McDermott and Mauro Castelli and Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim editors, 18th European Conference on Genetic Programming, volume 9025, pages 217-229, Copenhagen, 2015. Springer. details

  38. Michaela Sikulova and Jiri Hulva and Lukas Sekanina. Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs. In Penousal Machado and Malcolm I. Heywood and James McDermott and Mauro Castelli and Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim editors, 18th European Conference on Genetic Programming, volume 9025, pages 113-125, Copenhagen, 2015. Springer. details

  39. Lukas Sekanina and Zdenek Vasicek. Evolutionary Computing in Approximate Circuit Design and Optimization. In Nikolaos Bellas and Georgios Karakonstantis and Costas Bekas editors, 1st Workshop On Approximate Computing, WAPCO 2015, Amsterdam, Holland, 2015. details

  40. Vojtech Mrazek and Zdenek Vasicek and Lukas Sekanina. Evolutionary Approximation of Software for Embedded Systems: Median Function. In William B. Langdon and Justyna Petke and David R. White editors, Genetic Improvement 2015 Workshop, pages 795-801, Madrid, 2015. ACM. details

  41. David Grochol and Lukas Sekanina and Martin Zadnik and Jan Korenek. A Fast FPGA-Based Classification of Application Protocols Optimized Using Cartesian GP. In Antonio M. Mora and Giovanni Squillero editors, 18th European Conference on the Applications of Evolutionary Computation, volume 9028, pages 67-78, Copenhagen, 2015. Springer. details

  42. Milos Minarik and Lukas Sekanina. Exploring the Search Space of Hardware / Software Embedded Systems by Means of GP. In Miguel Nicolau and Krzysztof Krawiec and Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and Juan J. Merelo and Victor M. Rivas Santos and Kevin Sim editors, 17th European Conference on Genetic Programming, volume 8599, pages 112-123, Granada, Spain, 2014. Springer. details

  43. Zdenek Vasicek and Lukas Sekanina. Evolutionary design of approximate multipliers under different error metrics. In 17th International Symposium on Design and Diagnostics of Electronic Circuits Systems, pages 135-140, 2014. details

  44. Zdenek Vasicek and Lukas Sekanina. How to evolve complex combinational circuits from scratch?. In 2014 IEEE International Conference on Evolvable Systems, pages 133-140, Orlando, FL, USA, 2014. IEEE. details

  45. M. Sikulova and G. Komjathy and L. Sekanina. Towards compositional coevolution in evolutionary circuit design. In IEEE International Conference on Evolvable Systems (ICES 2014), pages 157-164, 2014. details

  46. Lukas Sekanina and Ondrej Ptak and Zdenek Vasicek. Cartesian Genetic Programming as Local Optimizer of Logic Networks. In Carlos A. Coello Coello editor, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 2901-2908, Beijing, China, 2014. details

  47. Radek Hrbacek and Lukas Sekanina. Towards highly optimized cartesian genetic programming: from sequential via SIMD and thread to massive parallel implementation. In Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors, GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation, pages 1015-1022, Vancouver, BC, Canada, 2014. ACM. details

  48. Lukas Sekanina and Zdenek Vasicek. Approximate circuit design by means of evolvable hardware. In IEEE International Conference on Evolvable Systems (ICES 2013), pages 21-28, 2013. details

  49. Jiri Petrlik and Lukas Sekanina. Multiobjective evolution of approximate multiple constant multipliers. In 16th IEEE International Symposium on Design and Diagnostics of Electronic Circuits Systems (DDECS 2013), pages 116-119, 2013. details

  50. Tobias Smolka and Petr Svenda and Lukas Sekanina and Vashek Matyas. Evolutionary Design of Message Efficient Secrecy Amplification Protocols. In Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta editors, Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012, volume 7244, pages 194-205, Malaga, Spain, 2012. Springer Verlag. details

  51. Michaela Sikulova and Lukas Sekanina. Coevolution in Cartesian Genetic Programming. In Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta editors, Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012, volume 7244, pages 182-193, Malaga, Spain, 2012. Springer Verlag. details

  52. Michaela Sikulova and Lukas Sekanina. Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP. In Carlos A. Coello Coello and Vincenzo Cutello and Kalyanmoy Deb and Stephanie Forrest and Giuseppe Nicosia and Mario Pavone editors, Parallel Problem Solving from Nature, PPSN XII (part 1), volume 7491, pages 163-172, Taormina, Italy, 2012. Springer. details

  53. Zdenek Vasicek and Lukas Sekanina. On Area Minimization of Complex Combinational Circuits Using Cartesian Genetic Programming. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 825-832, Brisbane, Australia, 2012. details

  54. Lukas Sekanina and Zdenek Vasicek. A SAT-based fitness function for evolutionary optimization of polymorphic circuits. In Design, Automation Test in Europe Conference Exhibition (DATE), 2012, pages 715-720, 2012. details

  55. Lukas Sekanina and Vojtech Salajka. Towards new applications of multi-function logic: Image multi-filtering. In Design, Automation Test in Europe Conference Exhibition (DATE), 2012, pages 824-827, 2012. details

  56. Lukas Sekanina and Vojtech Salajka and Zdenek Vasicek. Two-Step Evolution of Polymorphic Circuits for Image Multi-Filtering. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 1481-1488, Brisbane, Australia, 2012. details

  57. Milos Minarik and Lukas Sekanina. Evolution of Iterative Formulas Using Cartesian Genetic Programming. In Andreas K\"onig and Andreas Dengel and Knut Hinkelmann and Koichi Kise and Robert J. Howlett and Lakhmi C. Jain editors, Proceedings of the 15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2011) Part I, volume 6881, pages 11-20, Kaiserslautern, Germany, 2011. Springer. details

  58. Zdenek Vasicek and Lukas Sekanina. A global postsynthesis optimization method for combinational circuits. In Lothar Thiele editor, Design, Automation Test in Europe Conference Exhibition (DATE), 2011, pages 1525-1528, Grenoble, France, 2011. IEEE. details

  59. Zdenek Vasicek and Michal Bidlo and Lukas Sekanina and Kyrre Glette. Evolutionary design of efficient and robust switching image filters. In 2011 NASA/ESA Conference on Adaptive Hardware and Systems (AHS), pages 192-199, San Diego, USA, 2011. details

  60. Lukas Sekanina. Evolution of digital circuits. In Darrell Whitley editor, GECCO 2011 Tutorials, pages 1343-1360, Dublin, Ireland, 2011. ACM. details

  61. Lukas Sekanina. Evolutionary circuit design: Tutorial. In 13th IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS 2010), page 5, Vienna, Austria, 2010. details

  62. Zbysek Gajda and Lukas Sekanina. When does Cartesian genetic programming minimize the phenotype size implicitly?. 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 983-984, Portland, Oregon, USA, 2010. ACM. details

  63. Zbysek Gajda and Lukas Sekanina. An Efficient Selection Strategy for Digital Circuit Evolution. In Gianluca Tempesti and Andy M. Tyrrell and Julian F. Miller editors, Proceedings of the 9th International Conference Evolvable Systems: From Biology to Hardware, ICES 2010, volume 6274, pages 13-24, York, 2010. Springer. details

  64. Petr Fiser and Jan Schmidt and Zdenek Vasicek and Lukas Sekanina. On logic synthesis of conventionally hard to synthesize circuits using genetic programming. In 13th IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS), 2010, pages 346-351, 2010. details

  65. Zdenek Vasicek and Michal Bidlo and Lukas Sekanina and Jim Torresen and Kyrre Glette and Marcus Furuholmen. Evolution of Impulse Bursts Noise Filters. In NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2009, pages 27-34, 2009. details

  66. Petr Svenda and Lukas Sekanina and Vaclav Matyas. Evolutionary design of secrecy amplification protocols for wireless sensor networks. In WiSec '09: Proceedings of the second ACM conference on Wireless network security, pages 225-236, Zurich, Switzerland, 2009. ACM. details

  67. Zbysek Gajda and Lukas Sekanina. Gate-Level Optimization of Polymorphic Circuits Using Cartesian Genetic Programming. In Andy Tyrrell editor, 2009 IEEE Congress on Evolutionary Computation, pages 1599-1604, Trondheim, Norway, 2009. IEEE Press. details

  68. Zdenek Vasicek and Lukas Sekanina. Hardware Accelerators for Cartesian 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 230-241, Naples, 2008. Springer. details

  69. Zdenek Vasicek and Ladislav Capka and Lukas Sekanina. Analysis of Reconfiguration Options for a Reconfigurable Polymorphic Circuit. In NASA/ESA Conference on Adaptive Hardware and Systems, AHS '08, pages 3-10, 2008. details

  70. Karel Slan\'y and Luk\'as Sekanina. Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP. 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 311-320, Valencia, Spain, 2007. Springer. details

  71. Lukas Sekanina and Tomas Martinek and Zbysek Gajda. Extrinsic and Intrinsic Evolution of Multifunctional Combinational. In Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas editors, Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 9676-9683, Vancouver, 2006. IEEE Press. details

  72. Luk\'a\vs Sekanina. Evolutionary Design Space Exploration for Median Circuits. In Guenther R. Raidl and Stefano Cagnoni and Jurgen Branke and David W. Corne and Rolf Drechsler and Yaochu Jin and Colin R. Johnson and Penousal Machado and Elena Marchiori and Franz Rothlauf and George D. Smith and Giovanni Squillero editors, Applications of Evolutionary Computing, EvoWorkshops2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC, volume 3005, pages 240-249, Coimbra, Portugal, 2004. Springer Verlag. details

  73. Lukas Sekanina. Evolving Constructors for Infinitely Growing Sorting Networks and Medians. In SOFSEM 2004: Theory and Practice of Computer Science, volume 2932, pages 314-323, Czech Republic, 2004. Springer-Verlag. details

  74. Lukas Sekanina. From Implementations to a General Concept of Evolvable Machines. 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 424-433, Essex, 2003. Springer-Verlag. details

Genetic Programming book chapters by Lukas Sekanina

  1. Lukas Sekanina and Zdenek Vasicek and Vojtech Mrazek. Automated Search-Based Functional Approximation for Digital Circuits. In Sherief Reda and Muhammad Shafique editors, Approximate Circuits Methodologies and CAD, pages 175-203. Springer, 2019. details

  2. Lukas Sekanina. Approximate Computing: An Old Job for Cartesian 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 9, pages 195-212. Springer, 2017. details

  3. Lukas Sekanina and Zdenek Vasicek. Functional Equivalence Checking for Evolution of Complex Digital Circuits. In Martin A. Trefzer and Andy M. Tyrrell editors, Evolvable Hardware From Practice to Application, chapter 6, pages 175-189. Springer, 2015. details

  4. Lukas Sekanina and Zdenek Vasicek. CGP Acceleration Using Field-Programmable Gate Arrays. In Julian F. Miller editor, Cartesian Genetic Programming, chapter 7, pages 217-230. Springer, 2011. 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. Lukas Sekanina and James Alfred Walker and Paul Kaufmann and Marco Platzner. Evolution of Electronic Circuits. In Julian F. Miller editor, Cartesian Genetic Programming, chapter 5, pages 125-179. Springer, 2011. details