Completely Derandomized Self-Adaptation in Evolution Strategies

Completely Derandomized Self-Adaptation in Evolution Strategies (2001)

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by Nikolaus Hansen , Andreas Ostermeier

Venue:	Evolutionary Computation
Citations:	244 - 33 self

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@ARTICLE{Hansen01completelyderandomized,
    author = {Nikolaus Hansen and Andreas Ostermeier},
    title = {Completely Derandomized Self-Adaptation in Evolution Strategies},
    journal = {Evolutionary Computation},
    year = {2001},
    volume = {9},
    pages = {159--195}
}

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Abstract

This paper puts forward two useful methods for self-adaptation of the mutation distribution -- the concepts of derandomization and cumulation. Principle shortcomings of the concept of mutative strategy parameter control and two levels of derandomization are reviewed. Basic demands on the self-adaptation of arbitrary (normal) mutation distributions are developed. Applying arbitrary, normal mutation distributions is equivalent to applying a general, linear problem encoding.

Citations

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