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 We propose an evaporation mechanism to solve the outdated memory problem.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particle swarm optimisation; PSO; mechanism; outdated memory problem; particle swarm optimization algorithm; self-adaptation mechanism; Artificial intelligence; Collaboration; Computational efficiency;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 :
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