Improved Particle Swarm Optimization with Mutation

P.C. Chou (Taiwan, China)


PSO, GA, evolutionary computations, swarm intelligence, optimization


Particle Swarm Optimization (PSO) can solve optimization problems with better solutions than that of using Genetic Algorithms (GA) nowadays. With high dimension of solution vectors, PSO also gets into trouble for finding optimal solutions. With mutation mechanism frequently used in GA into PSO algorithms, it shows improved performance for finding solution with high dimension optimization problems can be achieved compared with PSO without mutation.

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