Description

The performance of an algorithm used depends on the GNA. This book focuses on the comparison of optimizers, it defines a stress-outcome approach which can be derived all the classic criteria (median, average, etc.) and other more sophisticated. Source-codes used for the examples are also presented, this allows a reflection on the "superfluous chance," succinctly explaining why and how the stochastic aspect of optimization could be avoided in some cases.

Guided Randomness in Optimization, Volume 1

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£138.95

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Hardback by Maurice Clerc

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The performance of an algorithm used depends on the GNA. This book focuses on the comparison of optimizers, it defines... Read more

    Publisher: ISTE Ltd and John Wiley & Sons Inc
    Publication Date: 05/06/2015
    ISBN13: 9781848218055, 978-1848218055
    ISBN10: 1848218052

    Number of Pages: 316

    Non Fiction , Technology, Engineering & Agriculture , Education

    Description

    The performance of an algorithm used depends on the GNA. This book focuses on the comparison of optimizers, it defines a stress-outcome approach which can be derived all the classic criteria (median, average, etc.) and other more sophisticated. Source-codes used for the examples are also presented, this allows a reflection on the "superfluous chance," succinctly explaining why and how the stochastic aspect of optimization could be avoided in some cases.

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