Foundations of Generic Optimization : Volume 1: A Combinatorial Approach to Epistasis

M. Iglesias

ISBN 10: 1402036663 / ISBN 13: 9781402036668

Edité par Springer, 2005

A propos de cet article

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 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.

N° de réf. du vendeur 9781402036668

Détails bibliographiques

• Titre: Foundations of Generic Optimization : Volume 1: A Combinatorial Approach to Epistasis
• Éditeur: Springer
• Date de parution: 2005
• Langue: anglais
• ISBN à 10 chiffres: 1402036663
• ISBN à 13 chiffres: 9781402036668
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 241 L x 163 H x 25 P (en millimètres) 241 millimètres de largeur par 163 millimètres de hauteur par 25 millimètres de profondeur
• Poids: 1016 grammes

A propos de ce titre

Synopsis

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.