Operator self-adaptation in genetic programming

Min Hyeok Kim, Robert Ian McKay, Nguyen Xuan Hoai, Kangil Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationGenetic Programming - 14th European Conference, EuroGP 2011, Proceedings
Pages215-226
Number of pages12
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event14th European Conference on Genetic Programming, EuroGP 2011 - Torino, Italy
Duration: 27 Apr 201129 Apr 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6621 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th European Conference on Genetic Programming, EuroGP 2011
Country/TerritoryItaly
CityTorino
Period27/04/1129/04/11

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