TY - GEN
T1 - Operator self-adaptation in genetic programming
AU - Kim, Min Hyeok
AU - McKay, Robert Ian
AU - Hoai, Nguyen Xuan
AU - Kim, Kangil
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Adaptive Operator Selection
KW - Adaptive Pursuit
KW - Evolutionary Algorithm
KW - Genetic Programming
KW - Grammar Guided Genetic Programming
KW - Probability Matching
KW - Tree Adjoining Grammar
UR - http://www.scopus.com/inward/record.url?scp=79955764587&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-20407-4_19
DO - 10.1007/978-3-642-20407-4_19
M3 - Conference contribution
AN - SCOPUS:79955764587
SN - 9783642204067
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 215
EP - 226
BT - Genetic Programming - 14th European Conference, EuroGP 2011, Proceedings
T2 - 14th European Conference on Genetic Programming, EuroGP 2011
Y2 - 27 April 2011 through 29 April 2011
ER -