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Self-Adaptive Heuristics for Evolutionary Computation

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  • 196 pages
  • 7 hours of reading

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Focusing on self-adaptive parameters, this book delves into their application within evolutionary computation. It includes comprehensive experiments and statistical tests, alongside theoretical investigations that enhance the understanding of the proposed concepts. The analysis aims to provide insights into the effectiveness and implications of these adaptive mechanisms in computational processes.

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Self-Adaptive Heuristics for Evolutionary Computation, Oliver Kramer

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Released
2010
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