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Erschienen in:
2005 | OriginalPaper | Buchkapitel
A Parallel Vector-Based Particle Swarm Optimizer
verfasst von : I. L Schoeman, A. P. Engelbrecht
Erschienen in: Adaptive and Natural Computing Algorithms
Verlag: Springer Vienna
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Several techniques have been employed to adapt particle swarm optimization to find multiple optimal solutions in a problem domain. Niching algorithms have to identify good candidate solutions among a population of particles in order to split the space into regions where an optimal solution may be found. Subsequently the swarm must be optimized so that particles contained inside the niches will converge on multiple optimal solutions.
This paper presents an improved vector-based particle swarm optimizer where subswarms contained in niches are optimized in parallel.