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» Learning offspring optimizing mate selection
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GECCO
2008
Springer
119views Optimization» more  GECCO 2008»
13 years 6 months ago
Learning offspring optimizing mate selection
This poster paper presents a methodology for removing userdefined parameters at the parent selection stage, by allowing all individuals in the population to self-organize into pa...
Ekaterina A. Holdener, Daniel R. Tauritz
GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
13 years 10 months ago
Using an Immune System Model to Explore Mate Selection in Genetic Algorithms
Abstract. When Genetic Algorithms (GAs) are employed in multimodal function optimization, engineering and machine learning, identifying multiple peaks and maintaining subpopulation...
Chien-Feng Huang
TEC
2002
161views more  TEC 2002»
13 years 4 months ago
A fast and elitist multiobjective genetic algorithm: NSGA-II
Multiobjective evolutionary algorithms (EAs) that use nondominated sorting and sharing have been criticized mainly for their: 1) ( 3) computational complexity (where is the number ...
Kalyanmoy Deb, Samir Agrawal, Amrit Pratap, T. Mey...
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 8 months ago
Smart crossover operator with multiple parents for a Pittsburgh learning classifier system
This paper proposes a new smart crossover operator for a Pittsburgh Learning Classifier System. This operator, unlike other recent LCS approaches of smart recombination, does not ...
Jaume Bacardit, Natalio Krasnogor