DocumentCode
3246681
Title
Evaporation as a Self-Adaptation Mechanism for PSO
Author
Fernandez-Marquez, Jose Luis ; Arcos, Josep Lluis
Author_Institution
Artificial Intell. Res. Inst., Spanish Nat. Res. Council, Bellaterra
fYear
2008
fDate
20-24 Oct. 2008
Firstpage
465
Lastpage
466
Abstract
This work extends the Particle swarm optimization (PSO) algorithm for working on dynamic environments. We propose an evaporation mechanism to solve the outdated memory problem. We empirically show that our evaporation mechanism is able to achieve self-adaption without any knowledge on when changes occur.
Keywords
particle swarm optimisation; PSO; mechanism; outdated memory problem; particle swarm optimization algorithm; self-adaptation mechanism; Artificial intelligence; Collaboration; Computational efficiency; Convergence; Councils; Degradation; Particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Self-Adaptive and Self-Organizing Systems, 2008. SASO '08. Second IEEE International Conference on
Conference_Location
Venezia
Print_ISBN
978-0-7695-3404-6
Type
conf
DOI
10.1109/SASO.2008.27
Filename
4663452
Link To Document