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A Novel Swarm Intelligence Optimization Based on Gene Mutation

Particle swarm optimization (PSO) is one of important swarm intelligence (SI) methods. So far, more and more results of PSO application have been published by researchers. The premature convergence and lower local search performance are drawbacks of PSO. This paper proposes a novel gene mutation PSO (GMPSO), mutates some components of particles by the probability, makes a lot of experiments. The results of the research and the experiments indicate that the method can obviously improve the performance of PSO, is credible in theory and is feasible in technique.