Title :
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
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;
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
DOI :
10.1109/ICICISYS.2009.5357787
