Specific Dimension Stagnation Optimal Mutation of Particle Swarm Optimization Algorithm

A new specific dimension stagnation optimal mutation of PSO algorithm (SMPSO) is proposed to overcome the shortcomings of the standard PSO algorithm such as premature convergence, easily trapping into a local optimum and lowly searching precision. The presented algorithm can prevent the iterative process from falling into the local extremum. Five test functions are employed to test performance of the algorithm. Comparisons with some existing algorithms show that the new algorithm has a good performance.