Genetic Programming Bibliography entries for Emily Dolson

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GP coauthors/coeditors: Wolfgang Banzhaf, Charles Ofria, Alexander Lalejini, Jose Guadalupe Hernandez, Austin J Ferguson, Daniel Junghans, Anya E Vostinar, Luis Zaman, Matthew Andres Moreno, Marcos Sanson, Jack Garbus, Shakiba Shahbandegan,

Genetic Programming Articles by Emily Dolson

Genetic Programming conference papers by Emily Dolson

  1. Shakiba Shahbandegan and Emily Dolson. On the robustness of lexicase selection to contradictory objectives. In Dimo Brockhoff and Tapabrata Ray and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 594-602, Melbourne, Australia, 2024. Association for Computing Machinery. details

  2. 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

  3. Shakiba Shahbandegan and Emily Dolson. Theoretical Limits on the Success of Lexicase Selection Under Contradictory Objectives. 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 827-830, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. Emily Dolson and Wolfgang Banzhaf and Charles Ofria. Applying Ecological Principles to Genetic Programming. In Wolfgang Banzhaf and Randal S. Olson and William Tozier and Rick Riolo editors, Genetic Programming Theory and Practice XV, pages 73-88, University of Michigan in Ann Arbor, USA, 2017. Springer. details