Genetic Programming Bibliography entries for Lukas Sekanina

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.4202

GP coauthors/coeditors: 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, Milos Minarik, Syed Shakib Sarwar, Kaushik Roy, Jiri Petrlik, Antonio Jose Sanchez-Clemente, Luis Alfonso Entrena Arrontes, Michal Bidlo, Tomas Martinek, James Alfred Walker, Paul Kaufmann, Marco Platzner, Simon Harding, Wolfgang Banzhaf, Taras Kowaliw, Vojtech Salajka, Ondrej Ptak, Vlastimil Kapusta, Muhammad Shafique, Rehan Hafiz, Muhammad Usama Javed, Sarmad Abbas, Jiri Hulva, G Komjathy, Karel Slany, Tobias Smolka, Petr Svenda, Vashek (Vaclav) Matyas, Ladislav Capka, Jim Torresen, Kyrre Harald Glette, Marcus Furuholmen, F Vaverka,

Genetic Programming Articles by Lukas Sekanina

  1. 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

  2. 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

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

  4. 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

  5. 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

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

  7. 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

  8. 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

  9. 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

  10. Michaela Drahosova and Lukas Sekanina and Michal Wiglasz. Adaptive Fitness Predictors in Coevolutionary Cartesian Genetic Programming. Evolutionary Computation. Forthcoming. details

Genetic Programming Conference proceedings edited by Lukas Sekanina

Genetic Programming conference papers by Lukas Sekanina

  1. 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

  2. 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

  3. 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, page 1300, Montreal, 2017. IEEE Signal Processing Society. details

  4. 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

  5. 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

  6. 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

  7. 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

  8. Vojtech Mrazek and Radek Hrbacek and Zdenek Vasicek and Lukas Sekanina. EvoApproxSb: 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

  9. F. Vaverka and R. Hrbacek and L. Sekanina. Evolving component library for approximate high level synthesis. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016. details

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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. Best Paper. details

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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

  40. 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

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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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

  54. 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

  55. 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. 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

  2. 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

  3. 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

  4. 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

  5. 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