Genetic Programming Bibliography entries for Alexander Lalejini

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GP coauthors/coeditors: Clifford Bohm, Jorden Schossau, Charles Ofria, Ryan Boldi, Ashley Bao, Martin Briesch, Thomas Helmuth, Dominik Sobania, Lee Spector, Franz Rothlauf, Emily Dolson, Jose Guadalupe Hernandez, Austin J Ferguson, Daniel Junghans, Matthew Andres Moreno, Anya E Vostinar, Luis Zaman, Marcos Sanson, Jack Garbus, Santiago Rodriguez Papa,

Genetic Programming Articles by Alexander Lalejini

  1. Matthew Andres Moreno and Alexander Lalejini and Charles Ofria. Matchmaker, matchmaker, make me a match: geometric, variational, and evolutionary implications of criteria for tag affinity. Genetic Programming and Evolvable Machines, 24:Article number: 4, 2023. Online first. details

  2. Alexander Lalejini and Emily Dolson and Anya E Vostinar and Luis Zaman. Artificial selection methods from evolutionary computing show promise for directed evolution of microbes. eLife, 11:e79665, 2022. details

  3. Alexander Lalejini and Matthew Andres Moreno and Charles Ofria. Tag-based regulation of modules in genetic programming improves context-dependent problem solving. Genetic Programming and Evolvable Machines, 22(3):325-355, 2021. details

  4. Ryan Boldi and Martin Briesch and Dominik Sobania and Alexander Lalejini and Thomas Helmuth and Franz Rothlauf and Charles Ofria and Lee Spector. Informed Down-Sampled Lexicase Selection: Identifying Productive Training Cases for Efficient Problem Solving. Evolutionary Computation. Online Early. details

Genetic Programming PhD doctoral thesis Alexander Lalejini

Genetic Programming conference papers by Alexander Lalejini

  1. Alexander Lalejini and Marcos Sanson and Jack Garbus and Matthew Andres Moreno and Emily Dolson. Runtime phylogenetic analysis enables extreme subsampling for test-based problems. In Ting Hu and Aniko Ekart editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 511-514, Melbourne, Australia, 2024. Association for Computing Machinery. details

  2. Martin Briesch and Ryan Boldi and Dominik Sobania and Alexander Lalejini and Thomas Helmuth and Franz Rothlauf and Charles Ofria and Lee Spector. Improving Lexicase Selection with Informed Down-Sampling. In Marcus Gallagher editor, Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 25-26, Melbourne, Australia, 2024. Association for Computing Machinery. details

  3. Ryan Boldi and Ashley Bao and Martin Briesch and Thomas Helmuth and Dominik Sobania and Lee Spector and Alexander Lalejini. A Comprehensive Analysis of Down-sampling for Genetic Programming-based Program Synthesis. In Ting Hu and Aniko Ekart editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 487-490, Melbourne, Australia, 2024. Association for Computing Machinery. details

  4. Ryan Boldi and Ashley Bao and Martin Briesch and Thomas Helmuth and Dominik Sobania and Lee Spector and Alexander Lalejini. Untangling the Effects of Down-Sampling and Selection in Genetic Programming. In Andres Faina and Sebastian Risi and Eric Medvet and Kasper Stoy and Bert Chan and Karine Miras and Payam Zahadat and Djordje Grbic and Giorgia Nadizar editors, ALIFE 2024: Proceedings of the 2024 Artificial Life Conference, pages 705-716, Copenhagen, 2024. MIT Press. details

  5. Matthew Andres Moreno and Alexander Lalejini and Charles Ofria. Tag Affinity Criteria Influence Adaptive Evolution. In Alberto Moraglio editor, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 35-36, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  6. Ryan Boldi and Alexander Lalejini and Thomas Helmuth and Lee Spector. A Static Analysis of Informed Down-Samples. 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 531-534, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  7. Ryan Boldi and Ashley Bao and Martin Briesch and Thomas Helmuth and Dominik Sobania and Lee Spector and Alexander Lalejini. The Problem Solving Benefits of Down-Sampling Vary by Selection Scheme. 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 527-530, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  8. Alexander Lalejini and Matthew Andres Moreno and Jose Guadalupe Hernandez and Emily Dolson. Phylogeny-Informed Fitness Estimation for Test-Based Parent Selection. In Stephan Winkler and Leonardo Trujillo and Charles Ofria and Ting Hu editors, Genetic Programming Theory and Practice XX, pages 241-261, Michigan State University, USA, 2023. Springer. details

  9. Emily Dolson and Alexander Lalejini. Reachability Analysis for Lexicase Selection via Community Assembly Graphs. In Stephan Winkler and Leonardo Trujillo and Charles Ofria and Ting Hu editors, Genetic Programming Theory and Practice XX, pages 283-301, Michigan State University, USA, 2023. Springer. details

  10. Alexander Lalejini and Matthew Moreno and Charles Ofria. Tag-based Module Regulation for Genetic Programming. In Marcus Gallagher editor, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 25-26, Boston, USA, 2022. Association for Computing Machinery. details

  11. Jose Guadalupe Hernandez and Alex Lalejini and Charles Ofria. An Exploration of Exploration: Measuring the Ability of Lexicase Selection to Find Obscure Pathways to Optimality. In Wolfgang Banzhaf and Leonardo Trujillo and Stephan Winkler and Bill Worzel editors, Genetic Programming Theory and Practice XVIII, pages 83-107, East Lansing, USA, 2021. Springer. details

  12. Jose Guadalupe Hernandez and Alexander Lalejini and Emily Dolson. What Can Phylogenetic Metrics Tell us About Useful Diversity in Evolutionary Algorithms?. In Wolfgang Banzhaf and Leonardo Trujillo and Stephan Winkler and Bill Worzel editors, Genetic Programming Theory and Practice XVIII, pages 63-82, East Lansing, USA, 2021. Springer. details

  13. Austin J. Ferguson and Jose Guadalupe Hernandez and Daniel Junghans and Alexander Lalejini and Emily Dolson and Charles Ofria. Characterizing the effects of random subsampling and dilution on Lexicase selection. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, pages 1-23, East Lansing, MI, USA, 2019. Springer. details

  14. Alexander Lalejini and Charles Ofria. Tag-accessed memory for 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 346-347, Prague, Czech Republic, 2019. ACM. details

  15. Jose Guadalupe Hernandez and Alexander Lalejini and Emily Dolson and Charles Ofria. Random subsampling improves performance in lexicase selection. 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 2028-2031, Prague, Czech Republic, 2019. ACM. details

  16. Clifford Bohm and Alexander Lalejini and Jory Schossau and Charles Ofria. MABE 2.0: an introduction to MABE and a road map for the future of MABE development. 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 1349-1356, Prague, Czech Republic, 2019. ACM. details

  17. Alexander Lalejini and Charles Ofria. What Else Is in an Evolved Name? Exploring Evolvable Specificity with SignalGP. In Wolfgang Banzhaf and Lee Spector and Leigh Sheneman editors, Genetic Programming Theory and Practice XVI, pages 103-121, Ann Arbor, USA, 2018. Springer. details

  18. Emily Dolson and Alexander Lalejini and Charles Ofria. Exploring Genetic Programming Systems with MAP-Elites. In Wolfgang Banzhaf and Lee Spector and Leigh Sheneman editors, Genetic Programming Theory and Practice XVI, pages 1-16, Ann Arbor, USA, 2018. Springer. details

  19. Alexander Lalejini and Charles Ofria. Evolving event-driven programs with SignalGP. In Hernan Aguirre and Keiki Takadama and Hisashi Handa and Arnaud Liefooghe and Tomohiro Yoshikawa and Andrew M. Sutton and Satoshi Ono and Francisco Chicano and Shinichi Shirakawa and Zdenek Vasicek and Roderich Gross and Andries Engelbrecht and Emma Hart and Sebastian Risi and Ekart Aniko and Julian Togelius and Sebastien Verel and Christian Blum and Will Browne and Yusuke Nojima and Tea Tusar and Qingfu Zhang and Nikolaus Hansen and Jose Antonio Lozano and Dirk Thierens and Tian-Li Yu and Juergen Branke and Yaochu Jin and Sara Silva and Hitoshi Iba and Anna I Esparcia-Alcazar and Thomas Bartz-Beielstein and Federica Sarro and Giuliano Antoniol and Anne Auger and Per Kristian Lehre editors, GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1135-1142, Kyoto, Japan, 2018. ACM. details

  20. Alexander Lalejini and Charles Ofria. Evolving Reactive Agents with SignalGP. In Takashi Ikegami and Nathaniel Virgo and Olaf Witkowski and Mizuki Oka and Reiji Suzuki and Hiroyuki Iizuka editors, ALIFE 2018: The 2018 Conference on Artificial Life, pages 5368-369, Tokyo, Japan, 2018. The MIT Press. details

Genetic Programming other entries for Alexander Lalejini