I think the general approach should be to understand what a genetic algorithm is, and then decide how that will work within the context of your project (presumably it's an algorithm which your project will use to do something), and then choose the genetic algorithm you intend to implement, and then select the hardware you're going to use, then find or write any code necessary to manage that hardware, and then implement your chosen algorithm in code. Finally test and fix, repeating as necessary until its good enough.