Description

Book Synopsis

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 out the algorithms and techniques discussed.




Table of Contents
Part I, Simple Yet Complex Problems.- The Traveling Salesman Problem.- Vehicle Routing Problems (VRPs).- More Complex VRPs.- Multi-objective Problems.- Part II, Data and Routing.- An Introduction to Geospatial Data.- Routing Algorithms.- Linking to Data Sources.- Visualising Data.- Part III, Real-World Problems.- Food Deliveries in Rural Areas.- Delivering Milk.- Postal Deliveries.- Mobile Workforce Routing.- Urban Logistics.

Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World

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    A Hardback by Neil Urquhart

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      View other formats and editions of Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World by Neil Urquhart

      Publisher: Springer Nature Switzerland AG
      Publication Date: 15/05/2022
      ISBN13: 9783030981075, 978-3030981075
      ISBN10:

      Description

      Book Synopsis

      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 out the algorithms and techniques discussed.




      Table of Contents
      Part I, Simple Yet Complex Problems.- The Traveling Salesman Problem.- Vehicle Routing Problems (VRPs).- More Complex VRPs.- Multi-objective Problems.- Part II, Data and Routing.- An Introduction to Geospatial Data.- Routing Algorithms.- Linking to Data Sources.- Visualising Data.- Part III, Real-World Problems.- Food Deliveries in Rural Areas.- Delivering Milk.- Postal Deliveries.- Mobile Workforce Routing.- Urban Logistics.

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