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

Authors:
Qi Kang;Lei Wang;Qidi Wu
Affiliations:
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
Venue:
International Journal of Bio-Inspired Computation
Year:
2009

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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.