Maximum Homologous Crossover for Linear Genetic Programming

Michael Defoin Platel (1) , Manuel Clergue (1) , Philippe Collard (1)

1 I3S - Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis

We introduce a new recombination operator, the Maximum Homologous Crossover for Linear Genetic Programming. In contrast to standard crossover, it attempts to preserve similar structures from parents, by aligning them according to their homology, thanks to an algorithm used in Bio-Informatics. To highlight disruptive effects of crossover operators, we introduce the Royal Road landscapes and the Homology Driven Fitness problem, for Linear Genetic Programming. Two variants of the new crossover operator are described and tested on this landscapes. Results show a reduction in the bloat phenomenon and in the frequency of deleterious crossovers.

Domaines: Intelligence artificielle [cs.AI]

Michael Defoin Platel, Manuel Clergue, Philippe Collard. Maximum Homologous Crossover for Linear Genetic Programming. EuroGP 2003, 2003, Essex, United Kingdom. pp.29-48. ⟨hal-00159739⟩