Hyper-Heuristics: Theory and Applications

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Éditeur :

Springer


Collection :

Natural Computing Series

Paru le : 2018-10-05

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Description

This introduction to the field of hyper-heuristics presents the required foundations and tools and illustrates some of their applications. The authors organized the 13 chapters into three parts. The first, hyper-heuristic fundamentals and theory, provides an overview of selection constructive, selection perturbative, generation constructive and generation perturbative hyper-heuristics, and then a formal definition of hyper-heuristics. The chapters in the second part of the book examine applications of hyper-heuristics in vehicle routing, nurse rostering, packing and examination timetabling. The third part of the book presents advanced topics and then a summary of the field and future research directions. Finally the appendices offer details of the HyFlex framework and the EvoHyp toolkit, and then the definition, problem model and constraints for the most tested combinatorial optimization problems. 


The book will be of value to graduate students, researchers, and practitioners.
Pages
130 pages
Collection
Natural Computing Series
Parution
2018-10-05
Marque
Springer
EAN papier
9783319965130
EAN PDF
9783319965147

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
2212 Ko
Prix
94,94 €