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GECCO
2006
Springer
190views Optimization» more  GECCO 2006»
15 years 1 months ago
Effective genetic approach for optimizing advanced planning and scheduling in flexible manufacturing system
In this paper, a novel approach for designing chromosome has been proposed to improve the effectiveness, which called multistage operation-based genetic algorithm (moGA). The obje...
Haipeng Zhang, Mitsuo Gen
GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
15 years 3 months ago
An artificial immune system algorithm for CDMA multiuser detection over multi-path channels
Based on the Antibody Clonal Selection Theory of immunology, we put forward a novel clonal selection algorithm for multiuser detection in Code-division Multiple-access Systems. By...
Maoguo Gong, Ling Wang, Licheng Jiao, Haifeng Du
GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
15 years 1 months ago
gLINC: identifying composability using group perturbation
We present two novel perturbation-based linkage learning algorithms that extend LINC [5]; a version of LINC optimised for decomposition tasks (oLINC) and a hierarchical version of...
David Jonathan Coffin, Christopher D. Clack
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
15 years 3 months ago
Multipopulation cooperative coevolutionary programming (MCCP) to enhance design innovation
This paper describes the development of an evolutionary algorithm called Multipopulation Cooperative Coevolutionary Programming (MCCP) that extends Genetic Programming (GP) to sea...
Emily M. Zechman, S. Ranji Ranjithan
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 1 months ago
"Optimal" mutation rates for genetic search
Using a set of model landscapes we examine how different mutation rates affect different search metrics. We show that very universal heuristics, such as 1/N and the error threshol...
Jorge Cervantes, Christopher R. Stephens