Non-Fiction Books:

Foundations of Generic Optimization

Volume 1: A Combinatorial Approach to Epistasis
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Description

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.
Release date Australia
October 28th, 2010
Audience
  • Professional & Vocational
Contributors
  • Edited by A. Verschoren
  • Edited by R. Lowen
Edition
Softcover reprint of hardcover 1st ed. 2005
Illustrations
XIII, 298 p.
Pages
298
Dimensions
156x234x16
ISBN-13
9789048169221
Product ID
11090639

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