Genetic Programming Bibliography entries for Risto Miikkulainen

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GP coauthors/coeditors: Santiago Gonzalez, Matthew Hausknecht, Piyush Khandelwal, Peter Stone, Babak Hodjat, Hormoz Shahrzad, Lawrence Murray, Chris Holmes, Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Julie Beaulieu, Peter J Bentley, Samuel Bernard, Guillaume Beslon, David M Bryson, Patryk Chrabaszcz, Nick Cheney, Antoine Cully, Stephane Doncieux, Fred C Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frenoy, Christian Gagne, Leni K Le Goff, Laura M Grabowski, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Sara Mitri, David E Moriarty, Jean-Baptiste Mouret, Anh Quang Nguyen, Charles Ofria, Marc Parizeau, David P Parsons, Robert T Pennock, William F Punch, Thomas S Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O Stanley, Francois Taddei, Danesh Tarapore, Simon Thibault, Westley Weimer, Richard A Watson, Jason Yosinksi, Lee Altenberg, David Parsons, Jason Yosinski, Aditya Rawal, Jason Liang, Camille Dolle, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer,

Genetic Programming Articles by Risto Miikkulainen

  1. Risto Miikkulainen and Stephanie Forrest. A biological perspective on evolutionary computation. Nature machine intelligence, 3:9-15, 2021. details

  2. Joel Lehman and Jeff Clune and Dusan Misevic and Christoph Adami and Lee Altenberg and Julie Beaulieu and Peter J. Bentley and Samuel Bernard and Guillaume Beslon and David M. Bryson and Nick Cheney and Patryk Chrabaszcz and Antoine Cully and Stephane Doncieux and Fred C. Dyer and Kai Olav Ellefsen and Robert Feldt and Stephan Fischer and Stephanie Forrest and Antoine Frenoy and Christian Gagne and Leni Le Goff and Laura M. Grabowski and Babak Hodjat and Frank Hutter and Laurent Keller and Carole Knibbe and Peter Krcah and Richard E. Lenski and Hod Lipson and Robert MacCurdy and Carlos Maestre and Risto Miikkulainen and Sara Mitri and David E. Moriarty and Jean-Baptiste Mouret and Anh Nguyen and Charles Ofria and Marc Parizeau and David Parsons and Robert T. Pennock and William F. Punch and Thomas S. Ray and Marc Schoenauer and Eric Schulte and Karl Sims and Kenneth O. Stanley and Francois Taddei and Danesh Tarapore and Simon Thibault and Richard Watson and Westley Weimer and Jason Yosinski. The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artificial Life, 26(2):274-306, 2020. details

  3. Kenneth O. Stanley and Jeff Clune and Joel Lehman and Risto Miikkulainen. Designing neural networks through neuroevolution. Nature Machine Intelligence, 1:24-35, 2019. details

  4. Hormoz Shahrzad and Babak Hodjat and Risto Miikkulainen. EVOTER: Evolution of Transparent Explainable Rule sets. ACM Transactions on Evolutionary Learning and Optimization. Just Accepted. details

Genetic Programming conference papers by Risto Miikkulainen

  1. Babak Hodjat and Hormoz Shahrzad and Risto Miikkulainen. DIAS: A Domain-Independent Alife-Based Problem-Solving System. In Silvia Holler and Richard Loeffler and Stuart Bartlett editors, Proceedings of the 2022 Conference on Artificial Life, pages 214-222, 2022. MIT Press. 32. details

  2. Santiago Gonzalez and Risto Miikkulainen. Optimizing Loss Functions Through Multi-Variate Taylor Polynomial Parameterization. In Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors, Proceedings of the 2021 Genetic and Evolutionary Computation Conference, pages 305-313, internet, 2021. Association for Computing Machinery. details

  3. Risto Miikkulainen. Evolution of Neural Networks. In Richard Allmendinger and Hugo Terashima Marin and Efren Mezura Montes and Thomas Bartz-Beielstein and Bogdan Filipic and Ke Tang and David Howard and Emma Hart and Gusz Eiben and Tome Eftimov and William La Cava and Boris Naujoks and Pietro Oliveto and Vanessa Volz and Thomas Weise and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Rui Wang and Ran Cheng and Guohua Wu and Miqing Li and Hisao Ishibuchi and Jonathan Fieldsend and Ozgur Akman and Khulood Alyahya and Juergen Branke and John R. Woodward and Daniel R. Tauritz and Marco Baioletti and Josu Ceberio Uribe and John McCall and Alfredo Milani and Stefan Wagner and Michael Affenzeller and Bradley Alexander and Alexander (Sandy) Brownlee and Saemundur O. Haraldsson and Markus Wagner and Nayat Sanchez-Pi and Luis Marti and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and Matthew Johns and Nick Ross and Ed Keedwell and Herman Mahmoud and David Walker and Anthony Stein and Masaya Nakata and David Paetzel and Neil Vaughan and Stephen Smith and Stefano Cagnoni and Robert M. Patton and Ivanoe De Falco and Antonio Della Cioppa and Umberto Scafuri and Ernesto Tarantino 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 Erik Hemberg and Riyad Alshammari and Tokunbo Makanju and Fuijimino-shi and Ivan Zelinka and Swagatam Das and Ponnuthurai Nagaratnam and Roman Senkerik editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pages 495-525, internet, 2020. Association for Computing Machinery. Tutorial. details

  4. Santiago Gonzalez and Risto Miikkulainen. Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation (CEC), 2020. details

  5. Hormoz Shahrzad and Babak Hodjat and Camille Dolle and Andrei Denissov and Simon Lau and Donn Goodhew and Justin Dyer and Risto Miikkulainen. Enhanced Optimization With Composite Objectives and Novelty Pulsation. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, pages 275-293, East Lansing, MI, USA, 2019. Springer. details

  6. Hormoz Shahrzad and Babak Hodjat and Camille Dolle and Andrei Denissov and Simon Lau and Donn Goodhew and Justin Dyer and Risto Miikkulainen. Enhanced optimization with composite objectives and novelty pulsation. 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 231-232, Prague, Czech Republic, 2019. ACM. details

  7. Risto Miikkulainen. Evolution of neural networks. 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 694-709, Prague, Czech Republic, 2019. ACM. Tutorial. details

  8. Babak Hodjat and Hormoz Shahrzad and Risto Miikkulainen and Lawrence Murray and Chris Holmes. PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification. In Rick Riolo and Bill Worzel and Brian Goldman and Bill Tozier editors, Genetic Programming Theory and Practice XIV, pages 139-148, Ann Arbor, USA, 2016. Springer. details

  9. Matthew Hausknecht and Piyush Khandelwal and Risto Miikkulainen and Peter Stone. HyperNEAT-GGP: a hyperNEAT-based Atari General Game Player. In Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Will Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and Martin Pelikan and Silja Meyer-Nienberg and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb editors, GECCO '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference, pages 217-224, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  10. David E. Moriarty and Risto Miikkulainen. Hierarchical Evolution of Neural Networks. In Proceedings of the 1998 IEEE World Congress on Computational Intelligence, pages 428-433, Anchorage, Alaska, USA, 1998. IEEE Press. details

Genetic Programming book chapters by Risto Miikkulainen

Genetic Programming other entries for Risto Miikkulainen