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Binary or Float?

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Abstract

As discussed in the previous chapter, there are some problems that GA applications encounter that sometimes delay, if not prohibit, finding the optimal solutions with the desired precision. One of the implications of these problems was premature convergence of the entire population to a non—global optimum (Chapter 4); other consequences include inability to perform fine local tuning and inability to operate in the presence of nontrivial constraints (Chapters 6 and 7).

There were rules in the monastery, but the Master always warned against the tyranny of the law.

Anthony de Mello, One Minute Wisdom

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© 1996 Springer-Verlag Berlin Heidelberg

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Michalewicz, Z. (1996). Binary or Float?. In: Genetic Algorithms + Data Structures = Evolution Programs. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03315-9_6

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  • DOI: https://doi.org/10.1007/978-3-662-03315-9_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-08233-7

  • Online ISBN: 978-3-662-03315-9

  • eBook Packages: Springer Book Archive

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