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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Bare Bones Particle Swarms with Jumps
verfasst von : Mohammad Majid al-Rifaie, Tim Blackwell
Erschienen in: Swarm Intelligence
Verlag: Springer Berlin Heidelberg
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Bare Bones PSO was proposed by Kennedy as a model of PSO dynamics. Dependence on velocity is replaced by sampling from a Gaussian distribution. Although Kennedy’s original formulation is not competitive to standard PSO, the addition of a component-wise jumping mechanism, and a tuning of the standard deviation, can produce a comparable optimisation algorithm. This algorithm, Bare Bones with Jumps, exists in a variety of formulations. Two particular models are empirically examined in this paper and comparisons are made to canonical PSO and standard Bare Bones.