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Nature Inspired Optimisation for Delivery Problems - From Theory to the Real World (Hardcover, 1st ed. 2022) Loot Price: R2,162
Discovery Miles 21 620
Nature Inspired Optimisation for Delivery Problems - From Theory to the Real World (Hardcover, 1st ed. 2022): Neil Urquhart

Nature Inspired Optimisation for Delivery Problems - From Theory to the Real World (Hardcover, 1st ed. 2022)

Neil Urquhart

Series: Natural Computing Series

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Loot Price R2,162 Discovery Miles 21 620 | Repayment Terms: R203 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Natural Computing Series
Release date: May 2022
First published: 2022
Authors: Neil Urquhart
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 259
Edition: 1st ed. 2022
ISBN-13: 978-3-03-098107-5
Categories: Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Science & Mathematics > Mathematics > Optimization > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-03-098107-X
Barcode: 9783030981075

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