Operator self-adaptation in genetic programming
| dc.contributor.author | Kim, Min Hyeok | en |
| dc.contributor.author | McKay, Robert Ian | en |
| dc.contributor.author | Hoai, Nguyen Xuan | en |
| dc.contributor.author | Kim, Kangil | en |
| dc.date.accessioned | 2026-01-01T07:41:50Z | |
| dc.date.available | 2026-01-01T07:41:50Z | |
| dc.date.issued | 2011 | en |
| dc.description.abstract | We investigate the application of adaptive operator selection rates to Genetic Programming. Results confirm those from other areas of evolutionary algorithms: adaptive rate selection out-performs non-adaptive methods, and among adaptive methods, adaptive pursuit out-performs probability matching. Adaptive pursuit combined with a reward policy that rewards the overall fitness change in the elite worked best of the strategies tested, though not uniformly on all problems. | en |
| dc.description.sponsorship | Acknowledgments. Seoul National University Institute for Computer Technology provided research facilities for this study, which was supported by the Basic Science Research Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (Project No. 2010-0012546), and the BK21-IT program of MEST. | en |
| dc.description.status | Peer-reviewed | en |
| dc.format.extent | 12 | en |
| dc.identifier.isbn | 9783642204067 | en |
| dc.identifier.issn | 0302-9743 | en |
| dc.identifier.scopus | 79955764587 | en |
| dc.identifier.uri | https://hdl.handle.net/1885/733798858 | |
| dc.language.iso | en | en |
| dc.relation.ispartof | Genetic Programming - 14th European Conference, EuroGP 2011, Proceedings | en |
| dc.relation.ispartofseries | 14th European Conference on Genetic Programming, EuroGP 2011 | en |
| dc.relation.ispartofseries | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | en |
| dc.subject | Adaptive Operator Selection | en |
| dc.subject | Adaptive Pursuit | en |
| dc.subject | Evolutionary Algorithm | en |
| dc.subject | Genetic Programming | en |
| dc.subject | Grammar Guided Genetic Programming | en |
| dc.subject | Probability Matching | en |
| dc.subject | Tree Adjoining Grammar | en |
| dc.title | Operator self-adaptation in genetic programming | en |
| dc.type | Conference paper | en |
| dspace.entity.type | Publication | en |
| local.bibliographicCitation.lastpage | 226 | en |
| local.bibliographicCitation.startpage | 215 | en |
| local.contributor.affiliation | Kim, Min Hyeok; Seoul National University | en |
| local.contributor.affiliation | McKay, Robert Ian; Seoul National University | en |
| local.contributor.affiliation | Hoai, Nguyen Xuan; Hanoi University | en |
| local.contributor.affiliation | Kim, Kangil; Seoul National University | en |
| local.identifier.ariespublication | u4056230xPUB662 | en |
| local.identifier.doi | 10.1007/978-3-642-20407-4_19 | en |
| local.identifier.essn | 1611-3349 | en |
| local.identifier.pure | b479cd1a-36a3-4aa8-a330-bfd093a48b63 | en |
| local.identifier.url | https://www.scopus.com/pages/publications/79955764587 | en |
| local.type.status | Published | en |