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Modeling and optimization in green l...

Derbel, Houda.

Modeling and optimization in green logistics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling and optimization in green logisticsedited by Houda Derbel, Bassem Jarboui, Patrick Siarry.
other author:	Derbel, Houda.
Published:	Cham :Springer International Publishing :2020.
Description:	xiv, 168 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Vehicle routing problem.
Online resource:	https://doi.org/10.1007/978-3-030-45308-4
ISBN:	9783030453084$q(electronic bk.)

Modeling and optimization in green logistics
Modeling and optimization in green logistics[electronic resource] /edited by Houda Derbel, Bassem Jarboui, Patrick Siarry. - Cham :Springer International Publishing :2020. - xiv, 168 p. :ill., digital ;24 cm.

The Green-Vehicle Routing Problem: A Survey -- An Integrated Location-Inventory Routing Problem for ATMs in Banking Industry: A Green Approach -- Modelling a Future Routing Concept for Urban Air Mobility -- Putting the SC in SCORE: Solar Car Optimized Route Estimation and Smart Cities -- Evaluation and Prioritisation of Green Logistics and Transportation Practices Used in the Freight Transport Industry -- A Novel Hybrid Multi-objective Optimization Approach for Sustainable Delivery Systems with A Case Study in Izmir -- When Green Technology Meets Optimization Modelling: The Case of Routing Drones in Logistics, Agriculture and Healthcare -- Routing Electric Vehicles with Remote Servicing.

This book presents recent work that analyzes general issues of green logistics and smart cities. The contributed chapters consider operating models with important ecological, economic, and social objectives. The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.

ISBN: 9783030453084$q(electronic bk.)

Standard No.: 10.1007/978-3-030-45308-4doiSubjects--Topical Terms:

285561
Vehicle routing problem.

LC Class. No.: HE147.65 / .M64 2020

Dewey Class. No.: 006.3

Modeling and optimization in green logistics
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245 0 0 $a Modeling and optimization in green logistics $h [electronic resource] / $c edited by Houda Derbel, Bassem Jarboui, Patrick Siarry.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xiv, 168 p. : $b ill., digital ; $c 24 cm.
505 0 $a The Green-Vehicle Routing Problem: A Survey -- An Integrated Location-Inventory Routing Problem for ATMs in Banking Industry: A Green Approach -- Modelling a Future Routing Concept for Urban Air Mobility -- Putting the SC in SCORE: Solar Car Optimized Route Estimation and Smart Cities -- Evaluation and Prioritisation of Green Logistics and Transportation Practices Used in the Freight Transport Industry -- A Novel Hybrid Multi-objective Optimization Approach for Sustainable Delivery Systems with A Case Study in Izmir -- When Green Technology Meets Optimization Modelling: The Case of Routing Drones in Logistics, Agriculture and Healthcare -- Routing Electric Vehicles with Remote Servicing.
520 $a This book presents recent work that analyzes general issues of green logistics and smart cities. The contributed chapters consider operating models with important ecological, economic, and social objectives. The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.
650 0 $a Vehicle routing problem. $3 285561
650 0 $a Transportation problems (Programming) $3 239618
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Operations Research/Decision Theory. $3 273963
700 1 $a Derbel, Houda. $3 881229
700 1 $a Jarboui, Bassem. $3 699251
700 1 $a Siarry, Patrick. $3 243393
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773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-45308-4
950 $a Computer Science (SpringerNature-11645)