Skip to main content

Research Repository

Advanced Search

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

Urquhart, Neil



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.


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

Book Type Monograph
Acceptance Date Nov 10, 2021
Publication Date 2022
Deposit Date Nov 12, 2021
Publisher Springer
Series Title Natural Computing Series
Edition 1st
ISBN 978-3-030-98107-5
Keywords Traveling Salesperson Problem (TSP), Vehicle Routing Problem (VRP), Multi-objective Optimization, Routing Algorithms, Logistics, Optimization, Heuristics
Public URL
Publisher URL