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» Evolutionary Computation for Modeling and Optimization
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GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 9 months ago
Morphing methods in evolutionary design optimization
Design optimization is a well established application field of evolutionary computation. However, standard recombination operators acting on the genotypic representation of the d...
Michael Nashvili, Markus Olhofer, Bernhard Sendhof...
IPPS
2006
IEEE
15 years 10 months ago
A parallel memetic algorithm applied to the total tardiness machine scheduling problem
This work proposes a parallel memetic algorithm applied to the total tardiness single machine scheduling problem. Classical models of parallel evolutionary algorithms and the gene...
Vinícius Garcia, Paulo M. França, Al...
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 9 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
15 years 9 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
GECCO
2003
Springer
110views Optimization» more  GECCO 2003»
15 years 9 months ago
Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
Hisao Ishibuchi, Takashi Yamamoto