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Nature Inspired Optimisation for Delivery Problems : From Theory to the Real World (Natural Computing Series)

By: Neil Urquhart (Author)

Extended Catalogue

Ksh 10,250.00

Format: Paperback or Softback

ISBN-10: 303098110X

ISBN-13: 9783030981105

Collection / Series: Natural Computing Series

Collection Type: Publisher collection

Edition statement: 2022 ed.

Publisher: Springer Nature Switzerland AG

Imprint: Springer Nature Switzerland AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: May 16th, 2023

Publication Status: Active

Product extent: 259 Pages

Product Classification / Subject(s): Operational research
Optimization
Artificial intelligence

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This book explains classic routing and transportation problems and solutions, before offering insights based on successful real-world solutions.

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.



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