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Guided Randomness in Optimization, Volume 1|Maurice Clerc

Guided Randomness in Optimization, Volume 1

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9781848218055
  • ISBN-10: 1848218052
  • Publisher: Wiley-Iste
  • Publish Date: June 2015
  • Dimensions: 9.21 x 6.14 x 0.75 inches
  • Shipping Weight: 1.37 pounds
  • Page Count: 316

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