Hyper-Heuristics: Theory and Applications

Author:   Nelishia Pillay ,  Rong Qu
Publisher:   Springer Nature Switzerland AG
Edition:   Softcover reprint of the original 1st ed. 2018
ISBN:  

9783030072063


Pages:   130
Publication Date:   31 January 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Hyper-Heuristics: Theory and Applications


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Overview

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.

Full Product Details

Author:   Nelishia Pillay ,  Rong Qu
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   Softcover reprint of the original 1st ed. 2018
Dimensions:   Width: 15.50cm , Height: 0.80cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783030072063


ISBN 10:   3030072061
Pages:   130
Publication Date:   31 January 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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​Nelishia Pillay is a Professor in the Department of Computer Science of the University of Pretoria, previously she was a lecturer in the School of Mathematics, Statistics and Computer Science of the University of KwaZulu-Natal in Pietermaritzburg. Rong Qu is an Associate Professor in the School of Computer Science of the University of Nottingham. Their research interests include bioinspired and artificial intelligence techniques, particularly applied to operations research problems.

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