Particle Swarm Optimization

Ke-Lin Du () and M. N. S. Swamy ()
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Ke-Lin Du: Xonlink Inc
M. N. S. Swamy: Concordia University, Department of Electrical and Computer Engineering

Chapter Chapter 9 in Search and Optimization by Metaheuristics, 2016, pp 153-173 from Springer

Abstract: Abstract PSO can locate the region of the optimum faster than EAs, but once in this region it progresses slowly due to the fixed velocity stepsize. Almost all variants of PSO try to solve the stagnation problem. This chapter is dedicated to PSO as well as its variants.

Keywords: Inertia Weight; Premature Convergence; Good Particle; Multimodal Problem; Levy Flight (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-41192-7_9

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