99 search results - page 5 / 20 » Evolving Crossover Operators for Function Optimization |
GECCO
2003
Springer
14 years 20 days ago
2003
Springer
Evolutionary and genetic algorithms (EAs and GAs) are quite successful randomized function optimizers. This success is mainly based on the interaction of different operators like ...
AUSAI
2007
Springer
14 years 1 months ago
2007
Springer
The traditional concept of a genetic algorithm (GA) is that of selection, crossover and mutation. However, a limited amount of data from the literature has suggested that the nich...
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
We propose a crossover operator that works with genetic programming trees and is approximately geometric crossover in the semantic space. By defining semantic as program’s eval...
GECCO
2004
Springer
14 years 25 days ago
2004
Springer
A model of the dynamics of solving the counting-ones (OneMax) problem using a simple genetic algorithm (GA) is developed. It uses statistics of the early generations of GA runs to ...
EUROGP
2010
Springer
2010
Springer
Improving the Generalisation Ability of Genetic Programming with Semantic Similarity based Crossover
13 years 8 months ago
This paper examines the impact of semantic control on the ability of Genetic Programming (GP) to generalise via a semantic based crossover operator (Semantic Similarity based Cross...