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Title Foundations of generic optimization / by M. Iglesias [and others] ; edited by R. Lowen and A. Verschoren
Published Dordrecht ; [Great Britain] : Springer, 2005-
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Description 1 online resource : illustrations
Series Mathematical modelling--theory and applications ; v. 20
Mathematical modelling--theory and applications ; v. 20
Contents v. 1. A combinatorial approach to epistasis -- v. 2. Applications of fuzzy control, genetic algorithms and neural networks
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
Bibliography Includes bibliographical references and index
Notes English
Print version record
Subject Genetic algorithms.
Mathematical optimization.
Epistasis (Genetics)
Form Electronic book
Author Iglesias, M. T. (M. Teresa)
Lowen, R. (Robert)
Verschoren, A., 1954-
ISBN 1280284013
1402036655
1402066678 (v. 2 ; acid-free paper)
1402066686 (v. 2 ; e-book)
6610284016
9048169224
9781280284014
1402036663 (v. 1 ; cased)
9781402036651
9781402036668 (v. 1 ; cased)
9781402066672 (v. 2 ; acid-free paper)
9781402066689 (v. 2 ; e-book)
9786610284016
9789048169221
Other Titles Combinatorial approach to epistasis
Applications of fuzzy control, genetic algorithms and neural networks