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 Analysis wiskunde mathematics populatiegenetica population genetics populatiedynamica population dynamics optimalisatie optimization combinatoriek combinatorics computerwetenschappen computer sciences computerwiskunde computational mathematics Mathematics (General) Wiskunde (algemeen) Bibliography Includes bibliographical references and index Notes English Print version record Subject Genetic algorithms. Mathematical optimization. Epistasis (Genetics) Mathematical optimization. Epistasis (Genetics) Genetic algorithms. Informatique. Optimización matemática Algoritmos genéticos Epistasis (Genetics) Genetic algorithms Mathematical optimization Form Electronic book Author Iglesias, M. T. (M. Teresa) Lowen, R. (Robert) Verschoren, A., 1954- ISBN 9781402036651 1402036655 1402036663 9781402036668 9781402066672 1402066678 9781402066689 1402066686 1280284013 9781280284014 9786610284016 6610284016 9048169224 9789048169221

Other Titles Combinatorial approach to epistasis Applications of fuzzy control, genetic algorithms and neural networks Combinatorial approach to epistasis Applications of fuzzy control, genetic algorithms and neural networks Combinatorial approach to epistasis Applications of fuzzy control, genetic algorithms and neural networks Combinatorial approach to epistasis Applications of fuzzy control, genetic algorithms and neural networks Combinatorial approach to epistasis Applications of fuzzy control, genetic algorithms and neural networks Combinatorial approach to epistasis Applications of fuzzy control, genetic algorithms and neural networks Combinatorial approach to epistasis Applications of fuzzy control, genetic algorithms and neural networks

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