@inproceedings{b479cd1a36a34aa8a330bfd093a48b63,
title = "Operator self-adaptation in genetic programming",
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.",
keywords = "Adaptive Operator Selection, Adaptive Pursuit, Evolutionary Algorithm, Genetic Programming, Grammar Guided Genetic Programming, Probability Matching, Tree Adjoining Grammar",
author = "Kim, \{Min Hyeok\} and McKay, \{Robert Ian\} and Hoai, \{Nguyen Xuan\} and Kangil Kim",
year = "2011",
doi = "10.1007/978-3-642-20407-4\_19",
language = "English",
isbn = "9783642204067",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "215--226",
booktitle = "Genetic Programming - 14th European Conference, EuroGP 2011, Proceedings",
note = "14th European Conference on Genetic Programming, EuroGP 2011 ; Conference date: 27-04-2011 Through 29-04-2011",
}