Population diversity of particle swarms

Yuhui Shi*, Russell C. Eberhart

*Corresponding author for this work

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

87 Citations (Scopus)

Abstract

In the field of evolutionary computation, an important attribute of a population is diversity. This paper proposes a method for measuring the diversity of a particle swarm optimization population. It involves the measurement of position and velocity attributes of the particles that comprise the population. The proposed method is computationally straightforward and is adaptable to other evolutionary algorithms.

Original languageEnglish
Title of host publication2008 IEEE Congress on Evolutionary Computation, CEC 2008
Pages1063-1067
Number of pages5
DOIs
Publication statusPublished - 2008
Event2008 IEEE Congress on Evolutionary Computation, CEC 2008 - Hong Kong, China
Duration: 1 Jun 20086 Jun 2008

Publication series

Name2008 IEEE Congress on Evolutionary Computation, CEC 2008

Conference

Conference2008 IEEE Congress on Evolutionary Computation, CEC 2008
Country/TerritoryChina
CityHong Kong
Period1/06/086/06/08

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