Genetic Programming Bibliography entries for Moshe Sipper

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GP coauthors/coeditors: Itay Azaria, Achiya Elyasaf, Yaniv Azaria, Amit Benbassat, Yael Zaritsky, Ami Hauptman, Michael Orlov, Pavel Vaks, Nimrod Milo, Michal Ziv-Ukelson, Assaf Karmon, Ilan Kadar, Ohad Ben-Shahar, Karthik Kannappan, Lee Spector, Thomas Helmuth, William La Cava, Jake Wisdom, Omri Bernstein, Natalio Krasnogor, Pier Luca Lanzi, Andries P Engelbrecht, David A Pelta, Carlos Gershenson, Giovanni Squillero, Alex Alves Freitas, Marylyn D Ritchie, Mike Preuss, Christian Gagne, Yew-Soon Ong, Gunther R Raidl, Marcus Gallager, Jose A Lozano, Carlos Artemio Coello Coello, Dario Landa-Silva, Nikolaus Hansen, Silja Meyer-Nieberg, James Smith, Gusz Eiben, Ester Bernado-Mansilla, Will N Browne, Tina Yu, Jeff Clune, Gregory S Hornby, Man Leung Wong, Pierre Collet, Steven M Gustafson, Jean-Paul Watson, Simon M Poulding, Gabriela Ochoa, Marc Schoenauer, Carsten Witt, Anne Auger, Daniele Loiacono, Jason H Moore, Randal S Olson, Yong Chen, Sharon Tartarone, Steven Vitale, Weixuan Fu, Patryk Orzechowski, Ryan J Urbanowicz, John H Holmes, Carmel Bregman, Carlos Andres Pena-Reyes, Roy Poliansky, Shahar Michal, Tor Ivry, Omer Schalit-Cohen, Danny Barash, Shai Sharabi, Yehonatan Shichel, Eran Ziserman, Mario Giacobini, Karuna Ahuja, Tomer Halperin, Itai Tzruia, Kfir Wolfson, Shay Zakov,

Genetic Programming Articles by Moshe Sipper

  1. Roy Poliansky and Moshe Sipper and Achiya Elyasaf. From Requirements to Source Code: Evolution of Behavioral Programs. Applied Sciences, 12(3) 2022. details

  2. Moshe Sipper. EC-KitY: Evolutionary Computation Tool-kit in Python. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 15(4):Winter, 2022. details

  3. Moshe Sipper and Jason H. Moore. AddGBoost: A gradient boosting-style algorithm based on strong learners. Machine Learning with Applications, 7:100243, 2022. details

  4. Moshe Sipper and Jason H. Moore. Symbolic-regression boosting. Genetic Programming and Evolvable Machines, 22(3):357-381, 2021. details

  5. Moshe Sipper and Jason H. Moore. Conservation machine learning: a case study of random forests. Scientific Reports, 11:Article number: 3629, 2021. details

  6. Moshe Sipper and Jason H. Moore. Genetic Programming Theory and Practice: A Fifteen-Year Trajectory. Genetic Programming and Evolvable Machines, 21(1-2):169-179, 2020. Twentieth Anniversary Issue. details

  7. Jason H. Moore and Randal S. Olson and Yong Chen and Moshe Sipper. Automated discovery of test statistics using genetic programming. Genetic Programming and Evolvable Machines, 20(1):127-137, 2019. details

  8. Moshe Sipper and Weixuan Fu and Karuna Ahuja and Jason H. Moore. Investigating the parameter space of evolutionary algorithms. BioData Mining, 11(1) 2018. details

  9. Moshe Sipper and Achiya Elyasaf. Lunch Isn't Free, But Cells Are: Evolving FreeCell Players. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 6(3-4):2-10, 2014. details

  10. Moshe Sipper. Commentary on ''Genetic Programming and Emergence''. Genetic Programming and Evolvable Machines, 15(1):91-93, 2014. details

  11. Daniele Loiacono and Moshe Sipper. Special issue on GECCO competitions. Genetic Programming and Evolvable Machines, 15(4):375-377, 2014. details

  12. Achiya Elyasaf and Moshe Sipper. Software review: the HeuristicLab framework. Genetic Programming and Evolvable Machines, 15(2):215-218, 2014. details

  13. Amit Benbassat and Moshe Sipper. EvoMCTS: A Scalable Approach for General Game Learning. IEEE Transactions on Computational Intelligence and AI in Games, 6(4):382-394, 2014. details

  14. Moshe Sipper. Ubiquity symposium: Evolutionary computation and the processes of life: Darwinian software engineering: the short term, the middle ground, and the long haul. Ubiquity, 2012:2:1-2:6, 2012. details

  15. Achiya Elyasaf and Ami Hauptman and Moshe Sipper. Evolutionary Design of FreeCell Solvers. IEEE Transactions on Computational Intelligence and AI in Games, 4:270-281, 2012. details

  16. Kfir Wolfson and Shay Zakov and Moshe Sipper and Michal Ziv-Ukelson. Have your spaghetti and eat it too: evolutionary algorithmics and post-evolutionary analysis. Genetic Programming and Evolvable Machines, 12(2):121-160, 2011. details

  17. Yehonatan Shichel and Moshe Sipper. GP-RARS: evolving controllers for the Robot Auto Racing Simulator. Memetic Computing, 3(2):89-99, 2011. details

  18. Michael Orlov and Moshe Sipper. Flight of the FINCH through the Java Wilderness. IEEE Transactions on Evolutionary Computation, 15(2):166-182, 2011. details

  19. Moshe Sipper and Mario Giacobini. Introduction to Special Section on Evolutionary Computation in Games. Genetic Programming and Evolvable Machines, 9(4):279-280, 2008. details

  20. Moshe Sipper. Evolving Game-Playing Strategies with Genetic Programming. ERCIM News, 64:28-29, 2008. Invited article. details

  21. Moshe Sipper and Yaniv Azaria and Ami Hauptman and Yehonatan Shichel. Designing an Evolutionary Strategizing Machine for Game Playing and Beyond. IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, 37(4):583-593, 2007. details

  22. Shahar Michal and Tor Ivry and Omer Schalit-Cohen and Moshe Sipper and Danny Barash. Finding a Common Motif of RNA Sequences Using Genetic Programming: The GeRNAMo System. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 4(4):596-610, 2007. details

  23. Shai Sharabi and Moshe Sipper. GP-Sumo: Using genetic programming to evolve sumobots. Genetic Programming and Evolvable Machines, 7(3):211-230, 2006. details

  24. Yaniv Azaria and Moshe Sipper. GP-Gammon: Genetically Programming Backgammon Players. Genetic Programming and Evolvable Machines, 6(3):283-300, 2005. Published online: 12 August 2005. details

  25. Carlos Andres Pena-Reyes and Moshe Sipper. Evolutionary computation in medicine: an overview. Artificial Intelligence in Medicine, 19(1):1-23, 2000. details

Genetic Programming Books by Moshe Sipper

Genetic Programming Conference proceedings edited by Moshe Sipper

Genetic Programming conference papers by Moshe Sipper

  1. Moshe Sipper. Deep learning-based operators for evolutionary algorithms. 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. Moshe Sipper. A Melting Pot of Evolution and Learning. In Stephan Winkler and Leonardo Trujillo and Charles Ofria and Ting Hu editors, Genetic Programming Theory and Practice XX, pages 143-158, Michigan State University, USA, 2023. Springer. details

  3. Moshe Sipper and Jason H. Moore and Ryan J. Urbanowicz. New Pathways in Coevolutionary Computation. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, pages 295-305, East Lansing, MI, USA, 2019. Springer. details

  4. Moshe Sipper and Jason Moore and Ryan Urbanowicz. Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions. In Lukas Sekanina and Ting Hu and Nuno Lourenco editors, EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 146-161, Leipzig, Germany, 2019. Springer Verlag. details

  5. Jason H. Moore and Randal S. Olson and Yong Chen and Moshe Sipper. Discovering test statistics using genetic programming. 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 29-30, Prague, Czech Republic, 2019. ACM. details

  6. Randal S. Olson and Moshe Sipper and William La Cava and Sharon Tartarone and Steven Vitale and Weixuan Fu and Patryk Orzechowski and Ryan J. Urbanowicz and John H. Holmes and Jason H. Moore. A System for Accessible Artificial Intelligence. In Wolfgang Banzhaf and Randal S. Olson and William Tozier and Rick Riolo editors, Genetic Programming Theory and Practice XV, pages 121-134, University of Michigan in Ann Arbor, USA, 2017. Springer. details

  7. Itay Azaria and Achiya Elyasaf and Moshe Sipper. Evolving Artificial General Intelligence for Video Controllers. In Rick Riolo and Bill Worzel and Brian Goldman and Bill Tozier editors, Genetic Programming Theory and Practice XIV, pages 53-63, Ann Arbor, USA, 2016. Springer. details

  8. Achiya Elyasaf and Pavel Vaks and Nimrod Milo and Moshe Sipper and Michal Ziv-Ukelson. Casting the Problem of Mining RNA Sequence-Structure Motifs as One of Search and Learning Hyper-Heuristics for it. In Rick Riolo and William P. Worzel and M. Kotanchek and A. Kordon editors, Genetic Programming Theory and Practice XIII, pages 21-38, Ann Arbor, USA, 2015. Springer. details

  9. Karthik Kannappan and Lee Spector and Moshe Sipper and Thomas Helmuth and William La Cava and Jake Wisdom and Omri Bernstein. Analyzing a Decade of Human-Competitive (``HUMIE'') Winners: What Can We Learn?. In Rick Riolo and William P. Worzel and Mark Kotanchek editors, Genetic Programming Theory and Practice XII, pages 149-166, Ann Arbor, USA, 2014. Springer. details

  10. Achiya Elyasaf and Michael Orlov and Moshe Sipper. A heuristiclab evolutionary algorithm for FINCH. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1727-1728, Amsterdam, The Netherlands, 2013. ACM. details

  11. Amit Benbassat and Moshe Sipper. EvoMCTS: Enhancing MCTS-based players through genetic programming. In IEEE Conference on Computational Intelligence in Games (CIG 2013), 2013. details

  12. Amit Benbassat and Moshe Sipper. Evolving players that use selective game-tree search with genetic programming. In Katya Rodriguez and Christian Blum editors, GECCO 2012 Late breaking abstracts workshop, pages 631-632, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  13. Amit Benbassat and Moshe Sipper. Evolving both search and strategy for Reversi players using genetic programming. In IEEE Conference on Computational Intelligence and Games, CIG 2012, pages 47-54, Granada, 2012. IEEE. details

  14. Michael Orlov and Carmel Bregman and Moshe Sipper. Automatic Evolution of Java-Written Game Heuristics. In Myra Cohen and Mel O'Cinneid editors, Search Based Software Engineering, volume 6956, page 277, Szeged, Hungary, 2011. Springer. details

  15. Achiya Elyasaf and Yael Zaritsky and Ami Hauptman and Moshe Sipper. Evolving Solvers for FreeCell and the Sliding-Tile Puzzle. In Daniel Borrajo and Maxim Likhachev and Carlos Linares Lopez editors, Proceedings of the Fourth Annual Symposium on Combinatorial Search, SoCS 2011, pages 189-190, Castell de Cardona, Barcelona, Spain, 2011. AAAI Press. details

  16. Amit Benbassat and Moshe Sipper. Evolving board-game players with genetic programming. In Miguel Nicolau editor, GECCO 2011 Graduate students workshop, pages 739-742, Dublin, Ireland, 2011. ACM. details

  17. Ami Hauptman and Achiya Elyasaf and Moshe Sipper. Evolving hyper heuristic-based solvers for Rush Hour and FreeCell. In Ariel Felner and Nathan R. Sturtevant editors, Proceedings of the 3rd Annual Symposium on Combinatorial Search, SoCS 2010, pages 149-150, Stone Mountain, Atlanta, Georgia, USA, 2010. AAAI Press. details

  18. Amit Benbassat and Moshe Sipper. Evolving Lose-Checkers Players using Genetic Programming. In IEEE Conference on Computational Intelligence and Game, pages 30-37, IT University of Copenhagen, Denmark, 2010. details

  19. Kfir Wolfson and Moshe Sipper. Efficient List Search Algorithms. In Pierre Collet and Nicolas Monmarche and Pierrick Legrand and Marc Schoenauer and Evelyne Lutton editors, 9th International Conference, Evolution Artificielle, EA 2009, volume 5975, pages 158-169, Strasbourg, France, 2009. Springer. Revised Selected Papers. details

  20. Michael Orlov and Moshe Sipper. Genetic Programming in the Wild: Evolving Unrestricted Bytecode. 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 1043-1050, Montreal, 2009. ACM. details

  21. Ilan Kadar and Ohad Ben-Shahar and Moshe Sipper. Evolution of a local boundary detector for natural images via genetic programming and texture cues. 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 1887-1888, Montreal, 2009. ACM. details

  22. Ami Hauptman and Achiya Elyasaf and Moshe Sipper and Assaf Karmon. GP-rush: using genetic programming to evolve solvers for the Rush Hour puzzle. 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 955-962, Montreal, 2009. ACM. details

  23. Michael Orlov and Moshe Sipper. Evolutionary Software Improvement for Instruction Set Meta-evolution. In WSSEC 2008 Workshop and Summer School on Evolutionary Computing, Londonderry, UK, 2008. details

  24. Ilan Kadar and Ohad Ben-Shahar and Moshe Sipper. Evolving boundary detectors for natural images via Genetic Programming. In 19th International Conference on Pattern Recognition, ICPR 2008, pages 1-4, Tampa, Florida, USA, 2008. details

  25. Ami Hauptman and Moshe Sipper. Evolution of an Efficient Search Algorithm for the Mate-In-N Problem in Chess. 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 78-89, Valencia, Spain, 2007. Springer. details

  26. Moshe Sipper. Attaining Human-Competitive Game Playing with Genetic Programming. In Samira El Yacoubi and Bastien Chopard and Stefania Bandini editors, Proceedings of the 7th International Conference on Cellular Automata, for Research and Industry, ACRI, volume 4173, page 13, Perpignan, France, 2006. Springer. Invited Lectures. details

  27. Yehonatan Shichel and Eran Ziserman and Moshe Sipper. GP-Robocode: Using Genetic Programming to Evolve Robocode Players. 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 143-154, Lausanne, Switzerland, 2005. Springer. details

  28. Ami Hauptman and Moshe Sipper. GP-EndChess: Using Genetic Programming to Evolve Chess Endgame Players. 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 120-131, Lausanne, Switzerland, 2005. Springer. details

  29. Yaniv Azaria and Moshe Sipper. GP-Gammon: Using Genetic Programming to Evolve Backgammon Players. 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 132-142, Lausanne, Switzerland, 2005. Springer. details

  30. Ami Hauptman and Moshe Sipper. Analyzing the Intelligence of a Genetically Programmed Chess Player. In Franz Rothlauf editor, Late breaking paper at Genetic and Evolutionary Computation Conference (GECCO'2005), Washington, D.C., USA, 2005. details

Genetic Programming book chapters by Moshe Sipper

  1. Jason H. Moore and Moshe Sipper. Grammatical Evolution Strategies for Bioinformatics and Systems Genomics. In Conor Ryan and Michael O'Neill and J. J. Collins editors, Handbook of Grammatical Evolution, chapter 16, pages 395-405. Springer, 2018. details

  2. Michael Orlov and Moshe Sipper and Ami Hauptman. Genetic and Evolutionary Algorithms and Programming: General Introduction and Application to Game Playing. In Robert A. Meyers editor, Computational Complexity: Theory, Techniques, and Applications, pages 1309-1320. Springer, 2012. details

  3. Amit Benbassat and Achiya Elyasaf and Moshe Sipper. More or Less? Two Approaches to Evolving Game-Playing Strategies. In Rick Riolo and Ekaterina Vladislavleva and Marylyn D. Ritchie and Jason H. Moore editors, Genetic Programming Theory and Practice X, chapter 12, pages 171-185. Springer, Ann Arbor, USA, 2012. details

  4. Moshe Sipper. Let the Games Evolve!. In Rick Riolo and Ekaterina Vladislavleva and Jason H. Moore editors, Genetic Programming Theory and Practice IX, chapter 2, pages 17-36. Springer, Ann Arbor, USA, 2011. details

  5. Michael Orlov and Moshe Sipper. FINCH: A System for Evolving Java (Bytecode). In Rick Riolo and Trent McConaghy and Ekaterina Vladislavleva editors, Genetic Programming Theory and Practice VIII, volume 8 of Genetic and Evolutionary Computation, chapter 1, pages 1-16. Springer, Ann Arbor, USA, 2010. details

Genetic Programming other entries for Moshe Sipper

  1. Moshe Sipper and Tomer Halperin and Itai Tzruia and Achiya Elyasaf. EC-KitY: Evolutionary Computation Tool Kit in Python with Seamless Machine Learning Integration. 2022. details

  2. Moshe Sipper. Four Weddings and a Numeral: A Song of Evolution and Learning. 2021. details

  3. Moshe Sipper and Jason H. Moore. Programmatic Boosting. 2020. Apr 2023 Withdrawn, see instead \citeSipper_Moore:GPEM \citeSipper:2022:mlwa. details

  4. Moshe Sipper. Tiny Genetic Programming in Python. 2019. details

  5. Moshe Sipper and Weixuan Fu and Karuna Ahuja and Jason H. Moore. From MEGATON to RASCAL: Surfing the Parameter Space of Evolutionary Algorithms. 2017. details