Particle Swarm Optimization algorithm for nonlinea
2016-08-23
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Application of Particle Swarm Optimization algorithm for extreme nonlinear function, and gives the results of the analysis, particle swarm optimization algorithm to obtain the optimal value close to the actual optimal value function, show that the algorithm has strong function extreme optimization capability . In addition, the PSO algorithm is improved by inertia weight adaptive mutation and selection to improve the efficiency of the optimization algorithm. Algorithms can run out the results, I hope you can help.
matlab
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