MULTI-OBJECTIVE GREEN MIXED VEHICLE ROUTING PROBLEM UNDER ROUGH ENVIRONMENT

被引：1

作者：

Dutta J. ^{[1
]}

Barma P.S. ^{[2
]}

Mukherjee A. ^{[2
]}

Kar S. ^{[2
]}

De T. ^{[1
]}

Pamučar D. ^{[3
]}

Šukevičius Š. ^{[4
]}

Garbinčius G. ^{[5
]}

机构：

[1] Dept of Computer Science and Engineering, National Institute of Technology Durgapur, West Bengal

[2] Dept of Mathematics, National Institute of Technology Durgapur, West Bengal

[3] Dept of Logistics, University of Defence in Belgrade Military Academy, Belgrade

[4] Dept of Mobile Machinery and Railway Transport, Vilnius Gediminas Technical University, Vilnius

[5] Dept of Automobile Engineering, Vilnius Gediminas Technical University, Vilnius

来源：

Transport | 2021年 / 37卷 / 01期

关键词：

evolutionary methods; green VRP; multi-objective VRP; NSGA-II; sustainability; VIKOR;

D O I：

10.3846/transport.2021.14464

中图分类号：

学科分类号：

摘要：

This paper proposes a multi-objective Green Vehicle Routing Problem (G-VRP) considering two types of vehicles likely company-owned vehicle and third-party logistics in the imprecise environment. Focusing only on one objective, especially the distance in the VRP is not always right in the sustainability point of view. Here we present a bi-objective model for the G-VRP that can address the issue of the emission of GreenHouse Gases (GHGs). We also consider the demand as a rough variable. This paper uses the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) to solve the proposed model. Finally, it uses Multicriteria Optimization and Compromise Solution (abbreviation in Serbian – VIKOR) method to determine the best alternative from the Pareto front. © 2021 The Author(s). Published by Vilnius Gediminas Technical University.

引用

页码：51 / 63

页数：12

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