Describes one of the newest forms of artificial intelligence being applied to the solution of business problems – the genetic algorithm (GA). GAs are useful when a problem has multiple solutions, some of which are better than others. Unlike deterministic, linear and non‐linear optimization models, GAs test a variety of solutions and, through an evolving process, attempt to find the best solution through processes that parallel the metaphors of survival of the fittest, genetic crossover, mutation and natural selection.
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