99 search results - page 1 / 20 » Evolving Crossover Operators for Function Optimization |
EUROGP
2006
Springer
13 years 8 months ago
2006
Springer
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...
EPS
1998
Springer
13 years 9 months ago
1998
Springer
This paperpresentsa new approachto the evolutionof neuralnetworks. A linear chromosome combined with a grid-based representation of the network and a new crossover operator allow t...
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
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...
EUROGP
2007
Springer
13 years 11 months ago
2007
Springer
This work analyzes fitness landscapes for the image filter design problem approached using functional-level Cartesian Genetic Programming. Smoothness and ruggedness of fitness l...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...