Description: Hyper-Heuristics: Theory and Applications by Nelishia Pillay, Rong Qu This introduction to the field of hyper-heuristics presents the required foundations and tools and illustrates some of their applications. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher 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. Back Cover 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. Author Biography 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. Table of Contents Introduction to Hyper-Heuristics.- Selection Constructive Hyper-Heuristics.- Selection Pertubative Hyper-Heuristics.- Generation Constructive Hyper-Heuristics.- Generation Perturbative Hyper-Heuristics.- Theoretical Aspect: A Formal Definition.- Vehicle Routing Problems.- Nurse Rostering Problems.- Packing Problems.- Examination Timetabling Problems.- Cross-Domain Hyper-Heuristics.- Advances in Hyper-Heuristics.- Conclusions and Future Research Directions. Long 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. Feature Recent technique that aims to effectively solve real-world optimization problems Presents fundamentals, theory, and applications of hyper-heuristics Valuable for researchers, graduate students, and practitioners in the areas of biologically inspired computing, optimization, and operations research Details ISBN3030072061 Language English Year 2019 ISBN-10 3030072061 ISBN-13 9783030072063 Format Paperback Author Rong Qu Subtitle Theory and Applications DEWEY 004.0151 Series Natural Computing Series Imprint Springer Nature Switzerland AG Place of Publication Cham Country of Publication Switzerland Pages 130 Publication Date 2019-01-31 Short Title Hyper-Heuristics UK Release Date 2019-01-31 Illustrations XVII, 130 p. Publisher Springer Nature Switzerland AG Edition Description Softcover reprint of the original 1st ed. 2018 Alternative 9783319965130 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. 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ISBN-13: 9783030072063
Book Title: Hyper-Heuristics: Theory and Applications
Number of Pages: 130 Pages
Language: English
Publication Name: Hyper-Heuristics: Theory and Applications
Publisher: Springer Nature Switzerland Ag
Publication Year: 2019
Subject: Computer Science, Mathematics, Management
Item Height: 235 mm
Item Weight: 238 g
Type: Textbook
Author: Rong Qu, Nelishia Pillay
Subject Area: Data Analysis
Item Width: 155 mm
Format: Paperback