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  • Category : AI-NN-PR
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  • Update : 2021-04-17
  • Size : 10kb
  • Downloaded :1次
  • Author :Shuai*****
  • About : Nobody
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Introduction - If you have any usage issues, please Google them yourself
When PSO algorithm calculates function extremum, it often appears premature phenomenon, which leads to large deviation in solving function extremum. However, genetic algorithm uses selection, crossover and mutation operators for function optimization, and directly takes the objective function as the search information in a probabilistic way. Therefore, it enhances the global optimization ability of particle swarm optimization algorithm and speeds up the progress of the algorithm The convergence accuracy is improved.
Packet file list
(Preview for download)
FilenameSizeUpdate
Ga_functionmin\circularConstraint.m 265 2013-10-19
Ga_functionmin\gaPeaksExample.m 1427 2013-10-19
Ga_functionmin\peaksPlotIterates.m 6660 2013-10-19
GA和PSO\GA(PSO)\Code.m 381 2013-10-19
GA和PSO\GA(PSO)\Cross.m 1393 2013-10-19
GA和PSO\GA(PSO)\fun.m 106 2013-10-19
GA和PSO\GA(PSO)\GA.m 2221 2013-10-19
GA和PSO\GA(PSO)\Mutation.m 1315 2013-10-19
GA和PSO\GA(PSO)\PSO.m 2187 2013-10-19
GA和PSO\GA(PSO)\Select2.m 801 2013-10-19
GA和PSO\GA(PSO)\test.m 269 2013-10-19
GA和PSO\GA_PSO\Cross.m 1393 2013-10-19
GA和PSO\GA_PSO\fun.m 106 2013-10-19
GA和PSO\GA_PSO\GA_PSO.m 2642 2013-10-19
GA和PSO\GA_PSO\Mutation.m 1315 2013-10-19
GA和PSO\GA_PSO\test.m 269 2013-10-19
GA和PSO\说明.txt 63 2013-10-19
GA和PSO\GA(PSO) 0 2013-10-30
GA和PSO\GA_PSO 0 2013-10-30
Ga_functionmin 0 2013-10-30
GA和PSO 0 2013-10-30
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