Overview
- Explains classic routing and transportation problems and solutions
- Shows how to exploit geospatial data, routing algorithms, and visualization
- Presents a wealth of real-world applications
Part of the book series: Natural Computing Series (NCS)
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Table of contents (13 chapters)
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Front Matter
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Interesting Problems and How to Solve Them
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Front Matter
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Data and Algorithms
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Front Matter
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Real-World Case Studies
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Front Matter
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Back Matter
Keywords
About this book
This book explains classic routing and transportation problems and solutions, before offering insights based on successful real-world solutions. The chapters in Part I introduce and explain the traveling salesperson problem (TSP), vehicle routing problems (VRPs), and multi-objective problems, with an emphasis on heuristic approaches and software engineering aspects. In turn, Part II demonstrates how to exploit geospatial data, routing algorithms, and visualization. In Part III, the above techniques and insights are combined in real-world success stories from domains such as food delivery in rural areas, postal delivery, workforce routing, and urban logistics.
The book offers a valuable supporting text for advanced undergraduate and graduate courses and projects in Computer Science, Engineering, Operations Research, and Mathematics. It is accompanied by a repository of source code, allowing readers to try outthe algorithms and techniques discussed.
Authors and Affiliations
About the author
Neil Urquhart is a lecturer in the School of Computing at Edinburgh Napier University. After qualifying in Computer Science he worked as a software developer and systems administrator. He returned to academia and completed a PhD in 2002 which examined the use of nature inspired techniques and software agents to construct and optimize delivery networks. Since 2002 he has worked as a lecturer at Edinburgh Napier where he is currently the program leader for Computing Science. His main research interests are algorithms, visualization, evolving systems, bioinspired computing, and modeling.
Bibliographic Information
Book Title: Nature Inspired Optimisation for Delivery Problems
Book Subtitle: From Theory to the Real World
Authors: Neil Urquhart
Series Title: Natural Computing Series
DOI: https://doi.org/10.1007/978-3-030-98108-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-98107-5Published: 15 May 2022
Softcover ISBN: 978-3-030-98110-5Published: 16 May 2023
eBook ISBN: 978-3-030-98108-2Published: 14 May 2022
Series ISSN: 1619-7127
Series E-ISSN: 2627-6461
Edition Number: 1
Number of Pages: XVII, 259
Number of Illustrations: 32 b/w illustrations, 43 illustrations in colour
Topics: Theory of Computation, Computational Intelligence, Artificial Intelligence, Operations Research/Decision Theory, Optimization