Hyper-Heuristics: Theory and Applications (Natural Computing Series) - Hardcover

Pillay, Nelishia; Qu, Rong

Hardcover

ISBN 10: 3319965131 ISBN 13: 9783319965130

Publisher: Springer, 2018

Synopsis

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.

About this title

About the Author

​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.

From the 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.

Edition details

• Publisher: Springer
• Publication date: 2018
• Language: English
• ISBN 10: 3319965131
• ISBN 13: 9783319965130
• Binding: Hardcover
• Edition number: 1
• Number of pages: 147