Diversity control in particle swarm optimization

Shi Cheng*, Yuhui Shi

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

52 Citations (Scopus)

Abstract

Population diversity of particle swarm optimization (PSO) is important when measuring and dynamically adjusting algorithm's ability of " exploration" or exploitation. Population diversities of PSO based on L 1 norm are given in this paper. Useful information on search process of an optimization algorithm could be obtained by using this measurement. Properties of PSO diversity based on L1 norm are discussed. Several methods for diversity control are tested on benchmark functions, and the method based on current position and average of current velocities has the best performance. This method could control the PSO diversity effectively and gets better performance than the standard PSO.

Original languageEnglish
Title of host publicationIEEE SSCI 2011 - Symposium Series on Computational Intelligence - SIS 2011
Subtitle of host publication2011 IEEE Symposium on Swarm Intelligence
Pages110-118
Number of pages9
DOIs
Publication statusPublished - 2011
EventSymposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE Symposium on Swarm Intelligence, SIS 2011 - Paris, France
Duration: 11 Apr 201115 Apr 2011

Publication series

NameIEEE SSCI 2011 - Symposium Series on Computational Intelligence - SIS 2011: 2011 IEEE Symposium on Swarm Intelligence

Conference

ConferenceSymposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE Symposium on Swarm Intelligence, SIS 2011
Country/TerritoryFrance
CityParis
Period11/04/1115/04/11

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