The Computer Revolution/Artificial Intelligence/Genetic
Algorithms  From Wikibooks, open books for an open world < The
Computer Revolution Jump to: navigation, search  Genetic
Algorithms- an AI system that mimics the evolutionary, survival-
of-the fittest process to generate increasingly better solutions
to a problem.  Genetic Algorithms use 3 concepts of evolution:
1. Selection or the survival of the fittest. The key to
selection is to give preference to better outcomes.   2.
Crossover or combining portions of good outcomes in the hope of
creating an even better outcome   3. Mutation or randomly trying
combinations and evaluating the success (or failure) of the
outcome.  Genetic Algorithms are best suited to decision-making
environments in which thousands, or perhaps millions, of
solutions are possible. Genetic algorithms can find and evaluate
solutions intelligently and can get through many more
possibilities more thoroughly and faster than a human can.