how to change mutation,crossover,selection,population size or some parameters in GA and BPSO to improve the performance of algorithms and make them hybrid ,means i want to use both GA and BPSO in one m file with certain changes?

1 次查看（过去 30 天）

Zafar Iqbal 2016-1-16

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/263983-how-to-change-mutation-crossover-selection-population-size-or-some-parameters-in-ga-and-bpso-to-impr

评论： Walter Roberson 2016-1-20

for cost ,PAR -peak to average ratio and energy optimization please comments and guidance is required.

[Merged from duplicate]

Hello i want to use GA and BPSO in one .m file as one code and tell it as GA-BPSO Hybrid code ,please suggest me what changes i make in both so i can say it as hybrid and this Hybrid code have better performance than GA and BPSO individually?

kindly write in code form may be i change mutation or crossover or velocity or position what ever may be suggested so these both become hybrid and gave improved performance.

5 个评论
显示 3更早的评论隐藏 3更早的评论

Zafar Iqbal 2016-1-20

Yes walter ,but i am talking in general my code is like other Genetic algorithm and Binary particle swarm optimization,so i think i must do changes in mutation or crossover or selection or some other parameters so it gave improved performance as combined GA+BPSO compared to ga and bpso individually.

Walter Roberson 2016-1-20

Without a reference implementation, you are talking about creating new algorithms rather than (for example) the syntax of creating a custom crossover function for ga(). However, this is not an algorithms research forum: this is a forum about MATLAB. Come to us when you know the algorithm you want to use for the crossovers, and you are having difficulty with the implementation.

请先登录，再进行评论。

请先登录，再回答此问题。