Simply formulate your optimization problem and you can use GA like classical optimization techniques

Inspyred is another way to go if you don't want to fork over the dough to Mathworks. Just type `pip install inspyred` and follow the instructions on the tutorial below:

http://inspyred.github.io/tutorial.html

GA is particularly for optimization (called as fitness function in GA). Define an objective function, GA algorithm will generate decision variables (random number approach as it does). Then value of obj fun will be determined. It will go on for several generations as specified by you. Finally, based on the fitness final optimum will be obtained.

refer to 'GA' TOOLBOX in MatLab

It may be help you

Good morning

You received many good answers.

Take a look at :

http://hal.inria.fr/docs/00/44/48/98/PDF/Thesis_Lucas_Bustamante_Valencia.pdf

http://www.sciencedirect.com/science/article/pii/S0165237013000508

http://www.imperial.ac.uk/AP/faces/pages/read/Publications.jsp?person=g.rein&_adf.ctrl-state=f3m1wrkba_203

do not hesitate to contact me if you need more information.

Best regards

Talal

Thanks all of u for giving me suggestions