Authors:
- Provides description of the main ingredients of heuristic search
- Presents a simple and informal writing style to allow accessibility for a wide audience
- Highlights possible weakness of the techniques used while providing challenging research avenues
- Reflects the experience of the author in both research and supervision
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
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
Authors and Affiliations
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Centre for Logistics & Heuristic Optimisation, Kent Business School, University of Kent, Canterbury, United Kingdom
Saïd Salhi
About the author
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).
Bibliographic Information
Book Title: Heuristic Search
Book Subtitle: The Emerging Science of Problem Solving
Authors: Saïd Salhi
DOI: https://doi.org/10.1007/978-3-319-49355-8
Publisher: Palgrave Macmillan Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2017
Hardcover ISBN: 978-3-319-49354-1Published: 27 February 2017
Softcover ISBN: 978-3-319-84143-4Published: 25 July 2018
eBook ISBN: 978-3-319-49355-8Published: 18 February 2017
Edition Number: 1
Number of Pages: XVII, 213
Number of Illustrations: 17 b/w illustrations
Topics: Business Information Systems, Operations Research/Decision Theory, Big Data/Analytics, Algorithm Analysis and Problem Complexity, Computer Science, general