Solving the Capacitated Vehicle Routing Problem Using a Parallel Micro Genetic Algorithm

Zuzana Borčinová
{"title":"Solving the Capacitated Vehicle Routing Problem Using a Parallel Micro Genetic Algorithm","authors":"Zuzana Borčinová","doi":"10.1109/CompEng.2018.8536230","DOIUrl":null,"url":null,"abstract":"The Capacitated Vehicle Routing Problem (CVRP) is a very extensively studied combinatorial optimization problem that aimes to determine the order in which to visit a set of customers using a homogeneous fleet of vehicles based at a single depot so that the total travel cost is minimized. In this paper, a novel coarse-grained parallel micro genetic algorithm is used for solving CVRP while the conventional migration is replaced by a synchronously seeding the overall best solution to all search processes. The computational experiments examined the behaviour of the proposed approach.","PeriodicalId":194279,"journal":{"name":"2018 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Workshop on Complexity in Engineering (COMPENG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CompEng.2018.8536230","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The Capacitated Vehicle Routing Problem (CVRP) is a very extensively studied combinatorial optimization problem that aimes to determine the order in which to visit a set of customers using a homogeneous fleet of vehicles based at a single depot so that the total travel cost is minimized. In this paper, a novel coarse-grained parallel micro genetic algorithm is used for solving CVRP while the conventional migration is replaced by a synchronously seeding the overall best solution to all search processes. The computational experiments examined the behaviour of the proposed approach.
用并行微遗传算法求解有能力车辆路径问题
有能力车辆路线问题(CVRP)是一个被广泛研究的组合优化问题,其目的是使用基于单个仓库的均匀车队确定访问一组客户的顺序,从而使总旅行成本最小化。本文采用一种新型的粗粒度并行微遗传算法求解CVRP问题,并将传统的迁移算法替换为向所有搜索过程同步播种整体最优解。计算实验检验了所提出的方法的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信