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?
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for cost ,PAR -peak to average ratio and energy optimization please comments and guidance is required.
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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.
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Walter Roberson
el 20 de En. de 2016
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.
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