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

  • Type:


  • Date:

    31 December 2022

  • Publication Status:


  • Publisher


  • DOI:


  • Funders:

    Edinburgh Napier Funded


Urquhart, N. (2022). Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World. Cham: Springer.



Traveling Salesperson Problem (TSP), Vehicle Routing Problem (VRP), Multi-objective Optimization, Routing Algorithms, Logistics, Optimization, Heuristics

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