Genetic Programming Bibliography entries for Tomohiro Harada

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GP coauthors/coeditors: Keiki Takadama, Yoshihiro Ichikawa, Kei Murano, Ruck Thawonmas, Sohei Kino, Shubu Yoshida,

Genetic Programming Articles by Tomohiro Harada

Genetic Programming conference papers by Tomohiro Harada

  1. Sohei Kino and Tomohiro Harada and Ruck Thawonmas. Proposal of Surrogate Model for Genetic Programming Based on Program Structure Similarity. In 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), pages 808-813, 2020. details

  2. Tomohiro Harada and Kei Murano and Ruck Thawonmas. Proposal of Multimodal Program Optimization Benchmark and Its Application to Multimodal Genetic Programming. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24279, internet, 2020. IEEE Press. details

  3. Shubu Yoshida and Tomohiro Harada and Ruck Thawonmas. Multimodal genetic programming using program similarity measurement and its application to wall-following problem. 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 356-357, Prague, Czech Republic, 2019. ACM. details

  4. Kei Murano and Shubu Yoshida and Tomohiro Harada and Ruck Thawonmas. A Study on Multimodal Genetic Programming Introducing Program Simplification. In 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), pages 109-114, 2018. details

  5. Shubu Yoshida and Tomohiro Harada and Ruck Thawonmas. Multimodal genetic programming by using tree structure similarity clustering. In 2017 IEEE 10th International Workshop on Computational Intelligence and Applications (IWCIA), pages 85-90, 2017. details

  6. Tomohiro Harada and Keiki Takadama. Asynchronous Evolution by Reference-based Evaluation: Tertiary Parent Selection and its Archive. 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 198-209, Granada, Spain, 2014. Springer. details

  7. Tomohiro Harada and Keiki Takadama. Asynchronously evolving solutions with excessively different evaluation time by reference-based evaluation. 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 911-918, Vancouver, BC, Canada, 2014. ACM. details

  8. Tomohiro Harada and Keiki Takadama. Asynchronous Evaluation based Genetic Programming: Comparison of Asynchronous and Synchronous Evaluation and its Application. In Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors, Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 241-252, Vienna, Austria, 2013. Springer Verlag. details

  9. Tomohiro Harada and Keiki Takadama. Analyzing Program Evolution in Genetic Programming using Asynchronous Evaluation. In Pietro Lio and Orazio Miglino and Giuseppe Nicosia and Stefano Nolfi and Mario Pavone editors, Advances in Artificial Life, ECAL 2013, pages 713-720, Taormina, Italy, 2013. MIT Press. details

  10. Tomohiro Harada and Yoshihiro Ichikawa and Keiki Takadama. Evolving conditional branch programs in Tierra-based Asynchronous Genetic Programming. In Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on, pages 1023-1028, 2012. details

  11. Tomohiro Harada and Keiki Takadama. Adaptive mutation depending on program size in asynchronous program evolution. In Third World Congress on Nature and Biologically Inspired Computing (NaBIC 2011), pages 433-438, Salamanca, 2011. details