Vehicle Routing Optimization Problem: A Study on Capacitated Vehicle Routing Problem

被引:0
|
作者
Praveen, V. [1 ]
Keerthika, P. [4 ]
Sivapriya, G. [2 ]
Sarankumar, A. [1 ]
Bhasker, Boddu [3 ]
机构
[1] Bannari Amman Inst Technol, Sathyamangalam, Tamil Nadu, India
[2] Kongu Engn Coll, Perundurai, Tamil Nadu, India
[3] MLR Inst Technol, Hyderabad, Telangana, India
[4] Vellore Inst Technol, Vellore, Tamilnadu, India
关键词
Capacitated; Vehicle; Routing; Problem; Time windows; Locations; Demand constraints;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Vehicle Routing Problem is based on the generalization of Travelling Salesman Problem and it is a combinatorial optimization problem. Vehicle Routing Problem can have multiple routes to traverse whereas Travelling Salesman Problem has only one route. Route optimization is a complex task when the problem has more number of destination points. The objective of solving the vehicle routing problem is to deliver the products or goods in a right destination with some time management. In order to achieve these constraints, an effective route planning is required. There are different types of routing problems which are solved using so many algorithms. Among those types, one of the best known problems is Capacitated Vehicle Routing Problem. The Capacitated Vehicle Routing Problem deals with the total distance travelled, total cost and some other special parameters on a demand basis. Many authors have proposed the solutions to solve the Capacitated Vehicle Routing Problem in the recent years. This study mainly aims to expose the Capacitated Vehicle Routing Problem based papers where it reveals the problem statement, type of algorithm used and the parameters achieved from the findings are stated for all the mentioned articles.. The articles are taken from the recent periods. Copyright (c) 2022 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Advanced Materials for Innovation and Sustainability.
引用
收藏
页码:670 / 674
页数:5
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