A particle swarm optimization algorithm with partial mutation strategy and its application

Author

Cai Haopeng ; Su Yumin ; Zhang He

Author_Institution

State Key Lab. of Autonomous Underwater Vehicle, Harbin Eng. Univ., Harbin, China

Volume

1

fYear

2009

fDate

20-22 Nov. 2009

Firstpage

522

Lastpage

526

Abstract

A particle swarm optimization algorithm with partial mutation strategy (PMPSO) is developed. During the searching process, only premature convergence particles are mutated to escape from local optimum, and they are no more mutated in next several generations in order to search efficiently in other areas; other non-premature particles go on their evolutions normally. Several parameters of the PMPSO algorithm are studied in this paper. Experimental results show the feasibility and validity of PMPSO. Furthermore, application result demonstrates that PMPSO is more feasible and efficient for optimal design of three-dimensional hydrofoil.

Keywords

design engineering; hydrodynamics; marine vehicles; particle swarm optimisation; optimal three-dimensional hydrofoil design; partial mutation strategy; particle swarm optimization algorithm; searching process; Algorithm design and analysis; Automotive engineering; Computer aided instruction; Convergence; Genetic mutations; Helium; Laboratories; Particle swarm optimization; Random number generation; Underwater vehicles; optimal design; partial mutation strategy; particle swarm optimization; three-dimensional hydrofoil;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-4754-1

Electronic_ISBN

978-1-4244-4738-1

Type

conf

DOI

10.1109/ICICISYS.2009.5357787

Filename

5357787