Particle swarm optimisation

Seyedali Mirjalili

doi:10.1007/978-3-319-93025-1_2

Particle swarm optimisation

Seyedali Mirjalili

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

25 Citations (Scopus)

Abstract

This chapter covers the the inspiration, mathematical model, and main mechanisms of the Particle Swarm Optimisation (PSO). The binary version of this algorithm (BPSO) is also presented. Several experiments are conducted to analyze the performance of both PSO and BPSO qualitatively and quantitatively.

Original language	English
Title of host publication	Studies in Computational Intelligence
Publisher	Springer Verlag
Pages	15-31
Number of pages	17
DOIs	https://doi.org/10.1007/978-3-319-93025-1_2
Publication status	Published - 1 Jan 2019
Externally published	Yes

Publication series

Name	Studies in Computational Intelligence
Volume	780
ISSN (Print)	1860-949X

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-319-93025-1_2

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Particle swarm optimisation

Abstract

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