Description: 4 used to optimize the function of populations, each from three of the best stocks inside Add the fourth population, after repeated iterations of the optimal value function
To Search:
- [gatbx-origin1] - matlab genetic algorithm in the generic
- [fga] - A simple function optimization problem f
- [KPCA_SVM_Train] - KPCA and SVM fault diagnosis method comb
- [huise3] - grey model（GM（1，n
- [SAGA] - Optimization by simulated annealing gene
- [Genetic] - Resource planning using genetic algorith
File list (Check if you may need any files):
多种群遗传算法
..............\AimFunc.asv
..............\AimFunc.m
..............\Code.m
..............\Cross.m
..............\Decode.m
..............\iterative.asv
..............\iterative.m
..............\main.asv
..............\main.m
..............\Mutation.m
..............\PopInit.asv
..............\PopInit.m
..............\Popmerge.asv
..............\PopMerge31.asv
..............\PopMerge31.m
..............\PopMerge41.asv
..............\PopMerge41.m
..............\PopMerge51.asv
..............\Select.m
..............\test.asv
..............\test.m
..............\Untitled2.asv
..............\Untitled2.m
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