Genetic and evolutionary algorithms come of age

Before there were computers, there was thinking about the mind as a computer-as a machine. And in this way, computer science and engineering trace their roots to using natural examples. Within these fields of endeavor, AI drew its initial inspiration from nature, and work on computer-simulated brains received the lion's share of the early attention. But even back then, nature's other metaphor of adaptation planted a different seed that is now blossoming around the globe. Specifically, Darwinian evolution has spawned a family of computational methods called genetic algorithms (GAs) or evolutionary algorithms (EAs)

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