國立高雄大學圖資館 |

Language: English

Back

Nature inspired optimisation for delivery problemsfrom theory to the real world /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Nature inspired optimisation for delivery problemsby 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.
Contained By:	Springer Nature eBook
Subject:	Natural computation.
Online resource:	https://doi.org/10.1007/978-3-030-98108-2
ISBN:	9783030981082$q(electronic bk.)

Nature inspired optimisation for delivery problemsfrom 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$q(electronic bk.)

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

339160
Natural computation.

LC Class. No.: QA76.9.N37

Dewey Class. No.: 006.38

Nature inspired optimisation for delivery problemsfrom theory to the real world /
LDR:02454nmm a2200337 a 4500 001 620655
003 DE-He213
005 20220514132933.0
006 m d
007 cr nn 008maaau
008 221121s2022 sz s 0 eng d
020 $a 9783030981082$q(electronic bk.)
020 $a 9783030981075$q(paper)
024 7 $a 10.1007/978-3-030-98108-2 $2 doi
035 $a 978-3-030-98108-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.N37
072 7 $a UYA $2 bicssc
072 7 $a COM014000 $2 bisacsh
072 7 $a UYA $2 thema
082 0 4 $a 006.38 $2 23
090 $a QA76.9.N37 $b U79 2022
100 1 $a Urquhart, Neil. $3 921471
245 1 0 $a Nature inspired optimisation for delivery problems $h [electronic resource] : $b from theory to the real world / $c by Neil Urquhart.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xvii, 259 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Natural computing series
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.
650 0 $a Natural computation. $3 339160
650 1 4 $a Theory of Computation. $3 274475
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Operations Research and Decision Theory. $3 914898
650 2 4 $a Optimization. $3 274084
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Natural computing series. $3 677825
856 4 0 $u https://doi.org/10.1007/978-3-030-98108-2
950 $a Computer Science (SpringerNature-11645)