Hyper-Heuristics: Theory and Applications

Softcover Nachdruck of the original 1. Auflage 2018
ISBN: 978-3-030-07206-3
Verlag: Springer International Publishing

Buch, Englisch, 130 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 236 g

Reihe: Natural Computing Series

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.

Zielgruppe

Research

Autoren/Hrsg.

Qu, Rong

Pillay, Nelishia

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

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.

Über Autor(innen)

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.