Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
The 37th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (Oct. 2005, Ibaraki, Osaka)
Activity-Feedback Adaptive Particle Swarm Optimization
Genki UenoKeiichiro Yasuda
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2006 Volume 2006 Pages 185-190

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Abstract
This paper proposes an adaptive Particle Swarm Optimization (PSO) algorithm using the information defined as the average absolute value of velocity of all of the particles, which information can be used as an index to understand the activity of all of the particles. While a stability analysis of PSO algorithm is carried out based on the stability theory of modern control theory, an adaptive strategy for tuning one of its parameters is introduced so as to follow a given ideal average velocity by feedback control. The feasibility and advantages of the proposed adaptive PSO algorithm are verified through numerical simulations using some typical global optimization problems.
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© 2006 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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