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Part of the book series: Artificial Intelligence ((AI))

Abstract

There is a large class of interesting problems for which no reasonably fast algorithms have been developed. Many of these problems are optimization problems that arise frequently in applications. Given such a hard optimization problem it is often possible to find an efficient algorithm whose solution is approximately optimal. For some hard optimization problems we can use probabilistic algorithms as well — these algorithms do not guarantee the optimum value, but by randomly choosing sufficiently many “witnesses” the probability of error may be made as small as we like.

Paradoxical as it seemed, the Master always insisted that the true reformer was one who was able to see that everything is perfect as it is — and able to leave it alone.

Anthony de Mello, One Minute Wisdom

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© 1992 Springer-Verlag Berlin Heidelberg

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Michalewicz, Z. (1992). GAs: What Are They?. In: Genetic Algorithms + Data Structures = Evolution Programs. Artificial Intelligence. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-02830-8_2

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  • DOI: https://doi.org/10.1007/978-3-662-02830-8_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-02832-2

  • Online ISBN: 978-3-662-02830-8

  • eBook Packages: Springer Book Archive

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