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Foundations of Generic Optimization - Iglesias, M.; Naudts, B.; Verschoren, A.
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Iglesias, M.; Naudts, B.; Verschoren, A.:
Foundations of Generic Optimization - Livres de poche

2008, ISBN: 9048104157, Lieferbar binnen 4-6 Wochen Frais d'envoiVersandkostenfrei innerhalb der BRD

ID: 9789048104154

Internationaler Buchtitel. In englischer Sprache. Verlag: SPRINGER VERLAG GMBH, 316 Seiten, L=156mm, B=234mm, H=17mm, Gew.=445gr, [GR: 26290 - TB/Mathematik/Sonstiges], [SW: - Computers - General Information], Kartoniert/Broschiert, Klappentext: 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. 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.

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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.

Informations détaillées sur le livre - Foundations of Generic Optimization


EAN (ISBN-13): 9789048104154
ISBN (ISBN-10): 9048104157
Livre de poche
Date de parution: 2008
Editeur: SPRINGER VERLAG GMBH
316 Pages
Poids: 0,445 kg
Langue: eng/Englisch

Livre dans la base de données depuis 01.09.2010 22:13:28
Livre trouvé récemment le 01.09.2010 22:13:28
ISBN/EAN: 9789048104154

ISBN - Autres types d'écriture:
90-481-0415-7, 978-90-481-0415-4


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