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Foundations of Generic Optimization: Volume 1: A Combinatorial Approach to Epistasis (Mathematical Modelling: Theory and Applications, 20) - Softcover
Synopsis
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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Review
From the reviews:
"This book deals with combinatorial aspects of epistasis, especially normalized epistasis, a concept that exists in genetics and evolutionary algorithms. It starts with the theory of evolutionary algorithms. This illustrative introduction makes the book readable independent on other textbooks. ... The book is very well written and presents many important and useful results. ... It shows also that difficult practical problems can only be efficiently solved by a combination of Modelling, Mathematics and Computing." (Christian Posthoff, Zentralblatt MATH, Vol. 1108 (10), 2007)
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- PublisherSpringer
- Publication date2010
- ISBN 10 9048169224
- ISBN 13 9789048169221
- BindingPaperback
- Number of pages311
- EditorLowen R., Verschoren A.
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Foundations of Generic Optimization: Volume 1: A Combinatorial Approach to Epistasis (Mathematical Modelling: Theory and Applications) by Iglesias, M. [Paperback ]
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Foundations of Generic Optimization
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Springer Netherlands Okt 2010, 2010
ISBN 10: 9048169224
ISBN 13: 9789048169221
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book deals with combinatorial aspects of epistasis, a notion that existed for years in genetics and appeared in the eld of evolutionary algorithms in the early 1990s. Even thoughthe rst chapterputsepistasisintheperspective ofevolutionary algorithms and arti cial intelligence, and applications occasionally pop up in other chapters, thisbookisessentiallyaboutmathematics, aboutcombinatorialtechniques to compute in an e cient and mathematically elegant way what will be de ned as normalized epistasis. Some of the material in this book nds its origin in the PhD theses of Hugo Van Hove [97] and Dominique Suys [95]. The sixth chapter also contains material that appeared in the dissertation of Luk Schoofs [84]. Together with that of M. Teresa Iglesias [36], these dissertations form the backbone of a decade of mathematical ventures in the world of epistasis. The authors wish to acknowledge support from the Flemish Fund of Scienti c - search (FWO-Vlaanderen) and of the Xunta de Galicia. They also wish to explicitly mentiontheintellectualandmoralsupporttheyreceivedthroughoutthepreparation of this work from their family and their colleagues Emilio Villanueva, Jose Mar a Barja and Arnold Beckelheimer, as well as our local T T Xpert Jan Adriaenssens. 312 pp. Englisch. Seller Inventory # 9789048169221
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Condition: NEW. Editor(s): Lowen, R.; Verschoren, A. Series: Mathematical Modelling: Theory and Applications. Num Pages: 311 pages, biography. BIC Classification: PBU. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 16. Weight in Grams: 443. . 2010. 1st ed. Softcover of orig. ed. 2005. Paperback. . . . . Seller Inventory # V9789048169221
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book deals with combinatorial aspects of epistasis, a notion that existed for years in genetics and appeared in the eld of evolutionary algorithms in the early 1990s. Even thoughthe rst chapterputsepistasisintheperspective ofevolutionary algorithms and arti cial intelligence, and applications occasionally pop up in other chapters, thisbookisessentiallyaboutmathematics, aboutcombinatorialtechniques to compute in an e cient and mathematically elegant way what will be de ned as normalized epistasis. Some of the material in this book nds its origin in the PhD theses of Hugo Van Hove [97] and Dominique Suys [95]. The sixth chapter also contains material that appeared in the dissertation of Luk Schoofs [84]. Together with that of M. Teresa Iglesias [36], these dissertations form the backbone of a decade of mathematical ventures in the world of epistasis. The authors wish to acknowledge support from the Flemish Fund of Scienti c - search (FWO-Vlaanderen) and of the Xunta de Galicia. They also wish to explicitly mentiontheintellectualandmoralsupporttheyreceivedthroughoutthe preparation of this work from their family and their colleagues Emilio Villanueva, Jose Mar a Barja and Arnold Beckelheimer, as well as our local T T Xpert Jan Adriaenssens. Seller Inventory # 9789048169221
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Foundations of Generic Optimization : A Combinatorial Approach to Epistasis
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