Title: Swarm-based approximate dynamic optimization process for discrete particle swarm optimization system

Authors: Qi Kang, Lei Wang, Qidi Wu

Addresses: Department of Control Science and Engineering, Tongji University, 4800 Caoan Gonglu, Shanghai 201804, China. ' Department of Control Science and Engineering, Tongji University, 4800 Caoan Gonglu, Shanghai 201804, China. ' Department of Control Science and Engineering, Tongji University, 4800 Caoan Gonglu, Shanghai 201804, China

Abstract: This paper presents a convergence analysis of particle swarm optimisation system by treating it as a discrete-time linear time-variant system firstly. And then, based on the results of system convergence conditions, dynamic optimal control of a deterministic PSO system for parameters optimisation is studied by using dynamic programming; and an approximate dynamic programming algorithm – swarm-based approximate dynamic programming (swarm-ADP) is proposed in this paper. Finally, numerical simulations proved the validated of this presented dynamic optimisation method.

Keywords: particle swarm optimisation; PSO; approximate dynamic programming; dynamic optimisation; bio-inspired computation.

DOI: 10.1504/IJBIC.2009.022774

International Journal of Bio-Inspired Computation, 2009 Vol.1 No.1/2, pp.61 - 70

Published online: 26 Jan 2009 *

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