We introduce a new recombination operator, the Maximum Homologous Crossover for Linear Genetic Programming. In contrast to standard crossover, it attempts to preserve similar struc...
Michael Defoin-Platel, Manuel Clergue, Philippe Co...
This paper discusses the underlying pressures responsible for code growth in genetic programming, and shows how an understanding of these pressures can be used to use to eliminate...
With the exception of a small body of adaptive-parameter literature, evolutionary computation has traditionally favored keeping the population size constant through the course of t...
We have explored a novel method to find textual relations in electronic documents using genetic programming and semantic networks. This can be used for enhancing information retri...
A mathematical formula containing one or more free variables is "general" in the sense that it represents the solution to all instances of a problem (instead of just the...
John R. Koza, Martin A. Keane, Jessen Yu, William ...