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» An evolutionary method for complex-process optimization
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TEC
2008
100views more  TEC 2008»
15 years 13 days ago
Real-Valued Compact Genetic Algorithms for Embedded Microcontroller Optimization
Recent research on compact genetic algorithms (cGAs) has proposed a number of evolutionary search methods with reduced memory requirements. In cGAs, the evolution of populations is...
Ernesto Mininno, Francesco Cupertino, David Naso
GECCO
2008
Springer
114views Optimization» more  GECCO 2008»
15 years 1 months ago
Strategic positioning in tactical scenario planning
Capability planning problems are pervasive throughout many areas of human interest with prominent examples found in defense and security. Planning provides a unique context for op...
James M. Whitacre, Hussein A. Abbass, Ruhul A. Sar...
82
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GECCO
2005
Springer
15 years 6 months ago
Theme preservation and the evolution of representation
The identification of mechanisms by which constraints on phenotypic variability are tuned in nature, and the implementation of these mechanisms in Evolutionary Algorithms (EAs) ca...
Keki M. Burjorjee, Jordan B. Pollack
139
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GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
15 years 5 months ago
Adaptive strategy selection in differential evolution
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...
Wenyin Gong, Álvaro Fialho, Zhihua Cai
90
Voted
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 5 months ago
Using performance fronts for parameter setting of stochastic metaheuristics
In this work, we explore the idea that parameter setting of stochastic metaheuristics should be considered as a multiobjective problem. The so-called “performance fronts” pres...
Johann Dréo