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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 - Taschenbuch

2008, ISBN: 9048104157, Lieferbar binnen 4-6 Wochen Versandkosten:Versandkostenfrei 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.

Detailangaben zum Buch - Foundations of Generic Optimization


EAN (ISBN-13): 9789048104154
ISBN (ISBN-10): 9048104157
Taschenbuch
Erscheinungsjahr: 2008
Herausgeber: SPRINGER VERLAG GMBH
316 Seiten
Gewicht: 0,445 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 01.09.2010 22:13:28
Buch zuletzt gefunden am 01.09.2010 22:13:28
ISBN/EAN: 9048104157

ISBN - alternative Schreibweisen:
90-481-0415-7, 978-90-481-0415-4


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