Description: Some of the practical problems of optimization goal is to strive for all local optimal solution, ie solving multimodal optimization problems, and proposed the transformation of the particle swarm optimization algorithm for solving multimodal optimization problems. Minimize particle swarm optimization global factors, thereby increasing its local factors, variable step size at the same time to increase the diversity of the particles. And the principles and steps of the algorithm. Simulation results show that a clear concept of the algorithm, a simple calculation and good local optimization features, can be applied to solving multimodal optimization problems. It also gives the comparison of several computing instances and other optimization algorithms
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