how to change mutation,c​rossover,s​election,p​opulation 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?

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.

[Walter Roberson]

BPSO appears to be Binary Particle Swarm Optimization such as in File Exchange EBPSO or File Exchange NBPSO

[zz]

thanks walter the code are good.but i want to change my own.

[Walter Roberson]

Most people would not know the abbreviation BPSO.

There is no problem with you writing your own code, but remember that we cannot tell you how to modify code that we have never seen.

[zz]

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]

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.