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CEC
2009
IEEE
15 years 4 months ago
Particle Swarm CMA Evolution Strategy for the optimization of multi-funnel landscapes
— We extend the Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) by collaborative concepts from Particle Swarm Optimization (PSO). The proposed Particle Swarm CMA-ES...
Christian L. Müller, Benedikt Baumgartner, Iv...
SWARM
2010
SPRINGER
420views Optimization» more  SWARM 2010»
14 years 8 months ago
Fireworks Algorithm for Optimization
Abstract. Inspired by observing fireworks explosion, a novel swarm intelligence algorithm, called Fireworks Algorithm (FA), is proposed for global optimization of complex function...
Ying Tan, Yuanchun Zhu
GECCO
2004
Springer
158views Optimization» more  GECCO 2004»
15 years 2 months ago
Adaptively Choosing Neighbourhood Bests Using Species in a Particle Swarm Optimizer for Multimodal Function Optimization
This paper proposes an improved particle swarm optimizer using the notion of species to determine its neighbourhood best values, for solving multimodal optimization problems. In th...
Xiaodong Li
IPPS
2009
IEEE
15 years 4 months ago
Adaptative clustering Particle Swarm Optimization
—The performance of Particle Swarm Optimization (PSO) algorithms depends strongly upon the interaction among the particles. The existing communication topologies for PSO (e.g. st...
Salomão S. Madeiro, Carmelo J. A. Bastos Fi...
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
15 years 1 months ago
Adaptively choosing niching parameters in a PSO
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
Stefan Bird, Xiaodong Li