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Nature inspired optimisation for del...

Urquhart, Neil.

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Nature inspired optimisation for delivery problems = from theory to the real world /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Nature inspired optimisation for delivery problems/ by Neil Urquhart.
Reminder of title:	from theory to the real world /
Author:	Urquhart, Neil.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xvii, 259 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Part I, Simple Yet Complex Problems -- The Traveling Salesman Problem -- Vehicle Routing Problems (VRPs) -- More Complex VRPs -- Multi-objective Problems -- Part II, Data and Routing -- An Introduction to Geospatial Data -- Routing Algorithms -- Linking to Data Sources -- Visualising Data -- Part III, Real-World Problems -- Food Deliveries in Rural Areas -- Delivering Milk -- Postal Deliveries -- Mobile Workforce Routing -- Urban Logistics.
Contained By:	Springer Nature eBook
Subject:	Natural computation. -
Online resource:	https://doi.org/10.1007/978-3-030-98108-2
ISBN:	9783030981082

Nature inspired optimisation for delivery problems = from theory to the real world /
Urquhart, Neil.

Nature inspired optimisation for delivery problemsfrom theory to the real world /[electronic resource] :by Neil Urquhart. - Cham :Springer International Publishing :2022. - xvii, 259 p. :ill. (some col.), digital ;24 cm. - Natural computing series. - Natural computing series..

Part I, Simple Yet Complex Problems -- The Traveling Salesman Problem -- Vehicle Routing Problems (VRPs) -- More Complex VRPs -- Multi-objective Problems -- Part II, Data and Routing -- An Introduction to Geospatial Data -- Routing Algorithms -- Linking to Data Sources -- Visualising Data -- Part III, Real-World Problems -- Food Deliveries in Rural Areas -- Delivering Milk -- Postal Deliveries -- Mobile Workforce Routing -- Urban Logistics.

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.

ISBN: 9783030981082

Standard No.: 10.1007/978-3-030-98108-2doiSubjects--Topical Terms:

1002233
Natural computation.

LC Class. No.: QA76.9.N37

Dewey Class. No.: 006.38

Nature inspired optimisation for delivery problems = from theory to the real world /
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300 $a xvii, 259 p. : $b ill. (some col.), digital ; $c 24 cm.
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505 0 $a Part I, Simple Yet Complex Problems -- The Traveling Salesman Problem -- Vehicle Routing Problems (VRPs) -- More Complex VRPs -- Multi-objective Problems -- Part II, Data and Routing -- An Introduction to Geospatial Data -- Routing Algorithms -- Linking to Data Sources -- Visualising Data -- Part III, Real-World Problems -- Food Deliveries in Rural Areas -- Delivering Milk -- Postal Deliveries -- Mobile Workforce Routing -- Urban Logistics.
520 $a 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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