- Category:
- AI-NN-PR
- Tags:
-
- File Size:
- 10kb
- Update:
- 2021-04-17
- Downloads:
- 1 Times
- Uploaded by:
- Shuai Wang
Description: 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.
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File list (Check if you may need any files):
Filename | Size | Date |
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Ga_functionmin\circularConstraint.m | 265 | 2013-10-19
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Ga_functionmin\gaPeaksExample.m | 1427 | 2013-10-19
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Ga_functionmin\peaksPlotIterates.m | 6660 | 2013-10-19
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GA和PSO\GA(PSO)\Code.m | 381 | 2013-10-19
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GA和PSO\GA(PSO)\Cross.m | 1393 | 2013-10-19
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GA和PSO\GA(PSO)\fun.m | 106 | 2013-10-19
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GA和PSO\GA(PSO)\GA.m | 2221 | 2013-10-19
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GA和PSO\GA(PSO)\Mutation.m | 1315 | 2013-10-19
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GA和PSO\GA(PSO)\PSO.m | 2187 | 2013-10-19
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GA和PSO\GA(PSO)\Select2.m | 801 | 2013-10-19
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GA和PSO\GA(PSO)\test.m | 269 | 2013-10-19
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GA和PSO\GA_PSO\Cross.m | 1393 | 2013-10-19
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GA和PSO\GA_PSO\fun.m | 106 | 2013-10-19
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GA和PSO\GA_PSO\GA_PSO.m | 2642 | 2013-10-19
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GA和PSO\GA_PSO\Mutation.m | 1315 | 2013-10-19
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GA和PSO\GA_PSO\test.m | 269 | 2013-10-19
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GA和PSO\说明.txt | 63 | 2013-10-19
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GA和PSO\GA(PSO) | 0 | 2013-10-30
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GA和PSO\GA_PSO | 0 | 2013-10-30
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Ga_functionmin | 0 | 2013-10-30
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GA和PSO | 0 | 2013-10-30 |