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Combining Semantically-Effective and Geometric Crossover Operators for Genetic Programming
Tomasz P. Pawlak
Institute of Computing Science, Poznan University of Technology, Pozna
, Poland
tpawlak@cs.put.poznan.pl
Abstract. We propose a way to combine two distinct general patterns for designing semantic crossover operators for genetic programming: geometric semantic approach and semantically-effective approach. In the experimental part we show the synergistic effects of combining these two approaches, which we explain by a major fraction of crossover acts performed by geometric semantic crossover operators being semantically ineffective. The results of the combined approach show significant improvement of performance and high resistance to a premature convergence.
Keywords: Semantics, taxonomy, neutrality, brood selection, experiment
LNCS 8672, p. 454 ff.
lncs@springer.com
© Springer International Publishing Switzerland 2014