Skip to content
Scan a barcode
Scan
Paperback Foundations of Generic Optimization: Volume 1: A Combinatorial Approach to Epistasis Book

ISBN: 9048169224

ISBN13: 9789048169221

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

Select Format

Select Condition ThriftBooks Help Icon

Recommended

Format: Paperback

Condition: New

$54.99
50 Available
Ships within 2-3 days

Book Overview

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.

Customer Reviews

0 rating
Copyright © 2025 Thriftbooks.com Terms of Use | Privacy Policy | Do Not Sell/Share My Personal Information | Cookie Policy | Cookie Preferences | Accessibility Statement
ThriftBooks ® and the ThriftBooks ® logo are registered trademarks of Thrift Books Global, LLC
GoDaddy Verified and Secured
Timestamp: 4/11/2025 6:47:21 PM
Server Address: 10.20.32.102