The impact of particles initialization in PSO: parameter estimation as a case in point

Paolo Cazzaniga, Marco S. Nobile, Daniela Besozzi

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

25 Citations (Scopus)

Abstract

Despite the intense research focused on the investigation of the functioning settings of Particle Swarm Optimization, the particles initialization functions - determining the initial positions in the search space - are generally ignored, especially in the case of real-world applications. As a matter of fact, almost all works exploit uniform distributions to randomly generate the particles coordinates. In this article, we analyze the impact on the optimization performances of alternative initialization functions based on logarithmic, normal, and lognormal distributions. Our results show how different initialization strategies can affect - and in some cases largely improve - the convergence speed, both in the case of benchmark functions and in the optimization of the kinetic constants of biochemical systems.

Original languageEnglish
Title of host publication2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2015
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages8
ISBN (Electronic)978-1-4799-6926-5
DOIs
Publication statusPublished - 16 Oct 2015
Externally publishedYes
EventIEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2015 - Niagara Falls, Canada
Duration: 12 Aug 201515 Aug 2015

Conference

ConferenceIEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2015
CountryCanada
CityNiagara Falls
Period12/08/1515/08/15

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