Parameter approximate dynamic optimization for PSO systems

Author

Kang, Qi ; Wang, Lei ; Liu, Derong ; Wu, Qidi

Author_Institution

Key Lab. of Embedded Syst. & Comput.-Service of MOE, Tongji Univ., Shanghai, China

fYear

2009

fDate

15-18 Dec. 2009

Firstpage

5003

Lastpage

5008

Abstract

This paper presents a novel swarm approximate dynamic programming method (swarm-ADP) for parameter optimization of PSO systems, from the perspective of optimal control. Based on the stability results of a simplified PSO and the swarm-ADP algorithm, parameter dynamic optimization and computation is studied in detail for a deterministic PSO system and a stochastic PSO system, respectively. Furthermore, numerical simulations based on several benchmarks optimization are performed. The results show the validity of the proposed parameter optimization method for PSO systems.

Keywords

dynamic programming; optimal control; particle swarm optimisation; stability; stochastic systems; PSO systems; deterministic PSO system; optimal control; parameter approximate dynamic optimization; stability results; stochastic PSO system; swarm approximate dynamic programming method; Adaptive control; Approximation algorithms; Estimation error; Multidimensional systems; Signal processing algorithms; Software algorithms; Stochastic processes; Stochastic resonance; Stochastic systems; Upper bound;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on

Conference_Location

Shanghai

ISSN

0191-2216

Print_ISBN

978-1-4244-3871-6

Electronic_ISBN

0191-2216

Type

conf

DOI

10.1109/CDC.2009.5400841

Filename

5400841