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» Recombination of Similar Parents in EMO Algorithms
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EMO
2005
Springer
72views Optimization» more  EMO 2005»
14 years 1 months ago
Recombination of Similar Parents in EMO Algorithms
Hisao Ishibuchi, Kaname Narukawa
EMO
2009
Springer
159views Optimization» more  EMO 2009»
14 years 2 months 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»
14 years 20 days 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»
14 years 20 days 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
14 years 1 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...