Heuristic Search

The Emerging Science of Problem Solving
1. Auflage 2017
ISBN: 978-3-319-49354-1
Verlag: Springer International Publishing

Buch, Englisch, 213 Seiten, HC runder Rücken kaschiert, Format (B × H): 153 mm x 216 mm, Gewicht: 2969 g

This book aims to provide a general overview of heuristic search, to present the basic steps of the most popular heuristics, and to stress their hidden difficulties as well as their opportunities. It provides a comprehensive understanding of Heuristic search, the applications of which are now widely used in a variety of industries including engineering, finance, sport, management and medicine. It intends to aid researchers and practitioners in solving complex combinatorial and global optimisation problems, and spark interest in this exciting decision science-based subject. It will provide the reader with challenging and lively methodologies through which they will be able to design and analyse their own techniques

Zielgruppe

Research

Autoren/Hrsg.

Salhi, Saïd

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Entscheidungstheorie, Sozialwahltheorie

Inhaltsverzeichnis

Chapter 1: Introduction.- Chapter 2: Improvement-Only Heuristics.- Chapter 3: Not-Necessary Improving Heuristics.- Chapter 4: Population-based Heuristics.- Chapter 5: Hybridisation Search.- Chapter 6: Implementation Issues.- Chapter 7 Applications, Conclusion and Research Challenges.

Über Autor(innen)

Said Salhi is Head of the Management Science Group and Director of the Research Centre on Logistics and Heuristic Optimisation (CLHO) which he established. Said has edited 6 special issues and published over 100 papers in academic journals. He has researched heuristics for the last 32 years and has supervised more than 25 PhD students in this area. He is a fellow of the OR Society (FORS), the IMA (FIMA), and CILT (FCILT).