A LH-DM Strategy Based Particle Swarm Optimization Algorithm

Aiming at the premature problem of the Particle Swarm Optimization (PSO), an improved algorithm based on dynamic mutation strategy named Lowdiversity and Highdiversity Dual Mutation Factors Particle Swarm Optimization (LH-DMPSO) was proposed. The dynamic mutation strategy enhanced particle diversity, avoid falling into local optimal position, simulation results based on the Benchmark functions shows that the improved algorithm exceeds the standard PSO and Gaussian Mutation Particle Swarm Optimization (GMPSO) on convergence and stability.