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GECCO
2010
Springer
129views Optimization» more  GECCO 2010»
13 years 11 months ago
A probabilistic functional crossover operator for genetic programming
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
Josh C. Bongard
EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
13 years 10 months ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean
EUROGP
2007
Springer
144views Optimization» more  EUROGP 2007»
14 years 29 days ago
Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP
This work analyzes fitness landscapes for the image filter design problem approached using functional-level Cartesian Genetic Programming. Smoothness and ruggedness of fitness l...
Karel Slaný, Lukás Sekanina
GECCO
1999
Springer
103views Optimization» more  GECCO 1999»
13 years 11 months ago
Homologous Crossover in Genetic Programming
In recent years, the genetic programming crossover operator has been criticized on both theoretical and empirical grounds. This paper introduces a new crossover operator for linea...
Frank D. Francone, Markus Conrads, Wolfgang Banzha...
EUROGP
2003
Springer
119views Optimization» more  EUROGP 2003»
14 years 19 hour ago
Maximum Homologous Crossover for Linear Genetic Programming
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...