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

Description: Nature Inspired Optimisation for Delivery Problems : From Theory to the Real World, Hardcover by Urquhart, Neil, ISBN 303098107X, ISBN-13 9783030981075, Like New Used, Free shipping in the US 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. Th 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.

Price: 92.38 USD

Location: Jessup, Maryland

End Time: 2024-12-17T10:23:48.000Z

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

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 14 Days

Refund will be given as: Money Back

Book Title: Nature Inspired Optimisation for Delivery Problems : From Theory

Number of Pages: Xvii, 259 Pages

Language: English

Publication Name: Nature Inspired Optimisation for Delivery Problems : from Theory to the Real World

Publisher: Springer International Publishing A&G

Publication Year: 2022

Subject: Engineering (General), Intelligence (Ai) & Semantics, Computer Science, Commerce

Item Weight: 20.7 Oz

Type: Textbook

Subject Area: Computers, Technology & Engineering, Business & Economics

Author: Neil Urquhart

Item Length: 9.3 in

Series: Natural Computing Ser.

Item Width: 6.1 in

Format: Hardcover

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