Confinements and Biases in Particle Swarm Optimisation

Abstract : All PSO versions do present one or more biases, often in favor of the center of the search space. An important factor that induces such biases is the method used to keep particles inside the search space. We compare here nine methods on a few benchmark functions, and the results suggest another one which is less biased. Furthermore this study also suggests how to adaptively modify the search space for each move. Thanks to these two simple modifications the resulting PSO is both more robust and more effective.
Document type :
Preprints, Working Papers, ...
Liste complète des métadonnées

Cited literature [3 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00122799
Contributor : Maurice Clerc <>
Submitted on : Friday, January 5, 2007 - 9:39:16 AM
Last modification on : Monday, April 9, 2018 - 12:20:03 PM
Document(s) archivé(s) le : Tuesday, April 6, 2010 - 7:50:48 PM

File

Confinements_and_bias.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00122799, version 1

Collections

Citation

Maurice Clerc. Confinements and Biases in Particle Swarm Optimisation. 2006. ⟨hal-00122799⟩

Share

Metrics

Record views

427

Files downloads

286