A Particle Swarm and Chaos Combination Approach for Vehicle Simulator Optimization

Author

Zhao, Qiang ; Gao, Fang

Author_Institution

Sch. of Traffic Transp. Eng., Northeast Forestry Univ., Harbin

Volume

2

fYear

2006

fDate

16-18 Oct. 2006

Firstpage

986

Lastpage

994

Abstract

Mechanism design is one crucial step in vehicle simulator developing. A combined approach of particle swarm optimization (PSO) algorithm and mutative scale chaos search algorithm is proposed for the parameters optimization of motion mechanism of vehicle simulator. The PSO algorithm is run to get the global best particle as the candidate solution, and then mutative scale chaos search iterations are employed to improve the local search ability. This combined search approach can solve the invalidation problem of chaos optimization algorithm in a large scale searching. Meanwhile it can improve local search precision of PSO. This approach is successfully used in design of a vehicle simulator

Keywords

mechanical engineering computing; particle swarm optimisation; search problems; vehicles; chaos optimization; mechanism design; mutative scale chaos search algorithm; parameter optimization; particle swarm optimization; vehicle simulator optimization; Automotive engineering; Chaos; Computational modeling; Design optimization; Large-scale systems; Particle swarm optimization; Traffic control; Transportation; Vehicle driving; Vehicle dynamics;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on

Conference_Location

Jinan

Print_ISBN

0-7695-2528-8

Type

conf

DOI

10.1109/ISDA.2006.253746

Filename

4021798