Genetic algorithms are stochastic adaptive algorithms whose search method is based on simulation of natural genetic inheritance and Darwinean struggle for life. In the last years, there has been much interest in studying the theoretical foundations of genetic algorithms, and especially novel applications. The purpose of this paper is twofold. First, a survey of genetic algorithnas is made, discussing what they actually are, and how they work. Secondly, some applications in process identification and control ase presented, together with a practical application in fuzzy control.
genetic algorithms, natural evolution, process identification, process control.
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