Overview
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.
Full Product Details
Author: M. Iglesias ,
R. Lowen ,
B. Naudts ,
A. Verschoren
Publisher: Springer
Imprint: Springer
Edition: Softcover reprint of hardcover 1st ed. 2005
Volume: 20
Dimensions:
Width: 16.00cm
, Height: 1.60cm
, Length: 24.00cm
Weight: 0.501kg
ISBN: 9789048169221
ISBN 10: 9048169224
Pages: 298
Publication Date: 28 October 2010
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Reviews
From the reviews: This book deals with combinatorial aspects of epistasis, especially normalized epistasis, a concept that exists in genetics and evolutionary algorithms. It starts with the theory of evolutionary algorithms. This illustrative introduction makes the book readable independent on other textbooks. ! The book is very well written and presents many important and useful results. ! It shows also that difficult practical problems can only be efficiently solved by a combination of Modelling, Mathematics and Computing. (Christian Posthoff, Zentralblatt MATH, Vol. 1108 (10), 2007)
From the reviews: This book deals with combinatorial aspects of epistasis, especially normalized epistasis, a concept that exists in genetics and evolutionary algorithms. It starts with the theory of evolutionary algorithms. This illustrative introduction makes the book readable independent on other textbooks. ... The book is very well written and presents many important and useful results. ... It shows also that difficult practical problems can only be efficiently solved by a combination of Modelling, Mathematics and Computing. (Christian Posthoff, Zentralblatt MATH, Vol. 1108 (10), 2007)
