Sciweavers

DEXAW
2008
IEEE

Particle Swarm Optimization Using Adaptive Mutation

13 years 9 months ago
Particle Swarm Optimization Using Adaptive Mutation
Two new variants of Particle Swarm Optimization (PSO) called AMPSO1 and AMPSO2 are proposed for global optimization problems. Both the algorithms use adaptive mutation using Beta distribution. AMPSO1 mutates the personal best position of the swarm and AMPSO2, mutates the global best swarm position. The performance of proposed algorithms is evaluated on twelve unconstrained test problems and three real life constrained problems taken from the field of Electrical Engineering. The numerical results show the competence of the proposed algorithms with respect some other contemporary techniques.
Millie Pant, Radha Thangaraj, Ajith Abraham
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where DEXAW
Authors Millie Pant, Radha Thangaraj, Ajith Abraham
Comments (0)