Guided Randomness in Optimization, Volume 1

By Maurice Clerc

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.

• Format: Hardcover
• Language: English
• ISBN: 1848218052
• ISBN13: 9781848218055
• Release Date: June 2015
• Publisher: Wiley-Iste
• Length: 316 Pages
• Weight: 1.37 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"