Foundations of Generic Optimization: Volume 1: A Combinatorial Approach to Epistasis (Mathematical Modelling: Theory and Applications, 20)

Iglesias, M.; Naudts, B.; Verschoren, A.; Vidal, C.

ISBN 10: 1402036663 ISBN 13: 9781402036668
Verlag: Springer, 2005
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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.

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"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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Titel: Foundations of Generic Optimization: Volume ...
Verlag: Springer
Erscheinungsdatum: 2005
Einband: Hardcover
Zustand: New

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M. Iglesias
Verlag: Springer, 2005
ISBN 10: 1402036663 ISBN 13: 9781402036668
Neu Hardcover

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

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Buch. Zustand: 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. Artikel-Nr. 9781402036668

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M. Iglesias|B. Naudts|A. Verschoren|C. Vidal
Verlag: Springer Netherlands, 2005
ISBN 10: 1402036663 ISBN 13: 9781402036668
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Gebunden. Zustand: New. Only book dealing exclusively with the notion of epistasis in the framework of evelotionary algorithms and genetic algorithms in particularCompletely self-contained (even includes a mathematical refresher intended for users with more comput. Artikel-Nr. 458474405

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