MULTI-OBJECTIVE GREEN MIXED VEHICLE ROUTING PROBLEM UNDER ROUGH ENVIRONMENT

被引：0
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.
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页码：51 / 63
页数：12
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