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Iglesias, M. (Universidade da Coruna); Naudts, Bart (Universiteit Antwerpen); Verschoren, A.; Vidal, C.. Ed(S): Lowen, R.; Verschoren, A. - Foundations of Generic Optimization - 9789048169221 - V9789048169221
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Foundations of Generic Optimization

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Description for Foundations of Generic Optimization Paperback. 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.
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]. ... Read more

Product Details

Format
Paperback
Publication date
2010
Publisher
Springer Netherlands
Number of pages
311
Condition
New
Series
Mathematical Modelling: Theory and Applications
Number of Pages
298
Place of Publication
Dordrecht, Netherlands
ISBN
9789048169221
SKU
V9789048169221
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Foundations of Generic Optimization
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 ... Read more

Goodreads reviews for Foundations of Generic Optimization


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