Comprehensive Learning Particle Swarm Optimization Algorithm with Adaptive Mutation

Classical Particle Swarm Optimization(PSO) algorithm has bad diversity and is easy to converge locally.This paper puts forward a smallest-variation-first mutation to design an improved CLPSO algorithm named as CLPSO-M algorithm.The experimental result of solving the benchmark problems indicates that CLPSO-M performs better and more steadily than CLPSO.