Description 
1 online resource : illustrations 
Series 
Mathematical modellingtheory and applications ; v. 20 

Mathematical modellingtheory 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 stateoftheart research on this notion, in a structured completely selfcontained 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 ; acidfree paper) 

1402066686 (v. 2 ; ebook) 

6610284016 

9048169224 

9781280284014 

1402036663 (v. 1 ; cased) 

9781402036651 

9781402036668 (v. 1 ; cased) 

9781402066672 (v. 2 ; acidfree paper) 

9781402066689 (v. 2 ; ebook) 

9786610284016 

9789048169221 
