Computer solutions to many difficult problems in science and
engineering require the use of automatic search methods that
consider a large number of possible solutions to the given
problems. This book describes recent advances in the theory and
practice of one such search method, called Genetic Algorithms.
Genetic algorithms are evolutionary search techniques based on
principles derived from natural population genetics, and are
currently being applied to a variety of difficult problems in
science, engineering, and artificial intelligence.
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