Foundations of Generic Optimization is popular PDF and ePub book, written by M. Iglesias in 2005-07-06, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Foundations of Generic Optimization can be Read Online from any device for your convenience.

Foundations of Generic Optimization Book PDF Summary

The success of a genetic algorithm when applied to an optimization problem depends upon several features present or absent in the problem to be solved, including the quality of the encoding of data, the geometric structure of the search space, deception or epistasis. This book deals essentially with the latter notion, presenting for the first time a complete state-of-the-art research on this notion, in a structured completely self-contained and methodical way. In particular, it contains a refresher on the linear algebra used in the text as well as an elementary introductory chapter on genetic algorithms aimed at readers unacquainted with this notion. In this way, the monograph aims to serve a broad audience consisting of graduate and advanced undergraduate students in mathematics and computer science, as well as researchers working in the domains of optimization, artificial intelligence, theoretical computer science, combinatorics and evolutionary algorithms.

Detail Book of Foundations of Generic Optimization PDF

Foundations of Generic Optimization
  • Author : M. Iglesias
  • Release : 06 July 2005
  • Publisher : Springer
  • ISBN : 1402036663
  • Genre : Computers
  • Total Page : 0 pages
  • Language : English
  • PDF File Size : 11,6 Mb

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Foundations of Generic Optimization

Foundations of Generic Optimization Author : R. Lowen,A. Verschoren
Publisher : Springer Science & Business Media
File Size : 21,7 Mb
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This is a comprehensive overview of the basics of fuzzy control, which also brings together some rec...

Foundations of Generic Optimization

Foundations of Generic Optimization Author : M. Iglesias,B. Naudts,A. Verschoren,C. Vidal
Publisher : Springer Science & Business Media
File Size : 16,8 Mb
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The success of a genetic algorithm when applied to an optimization problem depends upon several feat...