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Guided Randomness in Optimization, Volume 1
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
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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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