Have you ever wanted to solve the Knapsack Problem, perform efficient employee scheduling, or find a novel approach to solving computationally difficult problems? If so, then genetic algorithms may be just what you need. This article discusses the introduction of genetic algorithms as one way to approximate solutions to problems you are solving in your REALbasic programs. Here, is discussed the theory, benefits, drawbacks, and applications of genetic algorithms (or GAs). Also included is a simple program and modifications for better approximations.
Just tell us if you create some sorta wierd human deadly organism that like to stomp flat Asian cities and maybe breathes fire, ok?