Neil Urquhart
Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World
Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World
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This book provides an introduction to classic routing and transportation problems and solutions, with an emphasis on heuristic approaches and software engineering. It demonstrates how to exploit geospatial data, routing algorithms, and visualization in real-world success stories from domains such as food delivery, postal delivery, workforce routing, and urban logistics. It is accompanied by a repository of source code for readers to try out the algorithms and techniques discussed.
Format: Hardback
Length: 259 pages
Publication date: 15 May 2022
Publisher: Springer Nature Switzerland AG
This comprehensive book delves into the realm of classic routing and transportation problems, providing comprehensive explanations and insightful solutions. It begins by introducing key concepts such as the traveling salesperson problem (TSP), vehicle routing problems (VRPs), and multi-objective problems, emphasizing heuristic approaches and software engineering aspects. Part I of the book explores these topics in depth, offering detailed explanations and practical examples.
In Part II, the book showcases the utilization of geospatial data, routing algorithms, and visualization techniques, demonstrating how they can be applied to solve real-world challenges. Part III then combines these methodologies and insights into compelling real-world success stories from various domains, including food delivery in rural areas, postal delivery, workforce routing, and urban logistics.
The book serves as an invaluable supporting text for advanced undergraduate and graduate courses and projects in Computer Science, Engineering, Operations Research, and Mathematics. It is accompanied by a comprehensive repository of source code, allowing readers to experiment with the algorithms and techniques discussed. By presenting a holistic approach to routing and transportation problems, this book equips readers with the tools and knowledge necessary to address complex logistical challenges and optimize efficiency in today's dynamic world.
Weight: 588g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030981075
Edition number: 1st ed. 2022
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