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» Competitive Self-adaptation in Evolutionary Algorithms
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TEC
2012
234views Formal Methods» more  TEC 2012»
11 years 10 months ago
Cooperatively Coevolving Particle Swarms for Large Scale Optimization
—This paper presents a new cooperative coevolving particle swarm optimization (CCPSO) algorithm in an attempt to address the issue of scaling up particle swarm optimization (PSO)...
Xiaodong Li, Xin Yao
KES
2005
Springer
14 years 1 months ago
Dafo, a Multi-agent Framework for Decomposable Functions Optimization
This paper introduces Dafo, a new multi-agent framework for evolutionary optimization relying on a competitive coevolutionary genetic algorithm, aka LCGA (Loosely Coupled Genetic A...
Grégoire Danoy, Pascal Bouvry, Olivier Bois...
IIS
2003
13 years 9 months ago
Function Optimization with Coevolutionary Algorithms
Abstract. The problem of parallel and distributed function optimization with coevolutionary algorithms is considered. Two coevolutionary algorithms are used for this purpose and co...
Franciszek Seredynski, Albert Y. Zomaya, Pascal Bo...
ICGA
1997
133views Optimization» more  ICGA 1997»
13 years 9 months ago
Messy Genetic Algorithms for Subset Feature Selection
Subset Feature Selection problems can have severalattributes which may make Messy Genetic Algorithms an appropriateoptimization method. First, competitive solutions may often use ...
L. Darrell Whitley, J. Ross Beveridge, Cesar Guerr...
CEC
2009
IEEE
13 years 11 months ago
A dynamic artificial immune algorithm applied to challenging benchmarking problems
Abstract-- In many real-world scenarios, in contrast to standard benchmark optimization problems, we may face some uncertainties regarding the objective function. One source of the...
Fabrício Olivetti de França, Fernand...