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» Runtime analysis of a binary particle swarm optimizer
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ISCI
2006
72views more  ISCI 2006»
13 years 5 months ago
A study of particle swarm optimization particle trajectories
Particle swarm optimization (PSO) has shown to be an efficient, robust and simple optimization algorithm. Most of the PSO studies are empirical, with only a few theoretical analys...
F. Van den Bergh, Andries Petrus Engelbrecht
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
13 years 9 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
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
13 years 9 months ago
Particle swarm with speciation and adaptation in a dynamic environment
This paper describes an extension to a speciation-based particle swarm optimizer (SPSO) to improve performance in dynamic environments. The improved SPSO has adopted several prove...
Xiaodong Li, Jürgen Branke, Tim Blackwell
ACCV
2006
Springer
13 years 7 months ago
Dynamic Open Contours Using Particle Swarm Optimization with Application to Fluid Interface Extraction
Abstract. This paper describes a method for the estimation of a dynamic open contour by incorporating a modified particle swarm optimization technique. This scheme has been applied...
Mani Thomas, S. K. Misra, Chandra Kambhamettu, J. ...
TEC
2002
183views more  TEC 2002»
13 years 5 months ago
The particle swarm - explosion, stability, and convergence in a multidimensional complex space
Abstract--The particle swarm is an algorithm for finding optimal regions of complex search spaces through the interaction of individuals in a population of particles. Even though t...
Maurice Clerc, James Kennedy