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» Recombination of Similar Parents in EMO Algorithms
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EMO
2005
Springer
72views Optimization» more  EMO 2005»
13 years 11 months ago
Recombination of Similar Parents in EMO Algorithms
Hisao Ishibuchi, Kaname Narukawa
EMO
2009
Springer
159views Optimization» more  EMO 2009»
14 years 10 days ago
Recombination for Learning Strategy Parameters in the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
Thomas Voß, Nikolaus Hansen, Christian Igel
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
13 years 11 months ago
A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization
This paper proposes a new mating scheme for evolutionary multiobjective optimization (EMO), which simultaneously improves the convergence speed to the Pareto-front and the diversit...
Hisao Ishibuchi, Youhei Shibata
EUROGP
2003
Springer
119views Optimization» more  EUROGP 2003»
13 years 11 months 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...
AE
2005
Springer
13 years 11 months ago
Size Control with Maximum Homologous Crossover
Most of the Evolutionary Algorithms handling variable-sized structures, like Genetic Programming, tend to produce too long solutions and the recombination operator used is often co...
Michael Defoin-Platel, Manuel Clergue, Philippe Co...