Consider natural evolution. You may design a better mousetrap, but evolution, by the simple mechanical process of blind trial and error, can design a cat. With an improved understanding of evolution and with the power of massively parallel computers, this goal is in sight.
GAs can evolve a variety of computer-based objects and solutions.
And they can provide a superior method of computer learning for speech, vision, financial trading, fault detection, and so on. A GA is a simple tactic for computer learning that is inspired by natural evolution. The computer produces a whole population. If this simple process is carried on for many generations, the results can be impressive. The first is that it tries out variations of only the best individuals, making it more likely to be trying something good.