Particle Swarm Optimization Using Adaptive Mutation

• Published in: 2008 19th International Workshop on Database and Expert Systems Applications pp. 519 - 523
• Main Authors: Pant, M., Thangaraj, R., Abraham, A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.09.2008
• Subjects: adaptive mutation; Benchmark testing; distribution; Equations; Evolutionary computation; Evolutionary programming; Mathematical model; Optimization; Particle swarm optimization; Programming

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....