Nature Inspired Optimisation for Delivery Problems / Natural Computing Series (PDF)

Name: Nature Inspired Optimisation for Delivery Problems / Natural Computing Series
Brand: Springer International Publishing
SKU: 143959675
Price: 59.00 CHF
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From Theory to the Real World (Sprache: Englisch)

Autor: Neil Urquhart

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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.

Autoren-Porträt von Neil Urquhart

Neil Urquhart is a lecturer in the School of Computing at Edinburgh Napier University. After qualifying in Computer Science he worked as a software developer and systems administrator. He returned to academia and completed a PhD in 2002 which examined the use of nature inspired techniques and software agents to construct and optimize delivery networks. Since 2002 he has worked as a lecturer at Edinburgh Napier where he is currently the program leader for Computing Science. His main research interests are algorithms, visualization, evolving systems, bioinspired computing, and modeling.

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Autor: Neil Urquhart
2022, 1st ed. 2022, 259 Seiten, Englisch
Verlag: Springer International Publishing
ISBN-10: 3030981088
ISBN-13: 9783030981082
Erscheinungsdatum: 14.05.2022

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Dateiformat: PDF
Grösse: 9.60 MB
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Englisch

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