GORTS: genetic algorithm based on one-by-one revision of two sides for dynamic travelling salesman problems

Author:

Xu XiaolongORCID,Yuan Hao,Matthew PeterORCID,Ray JeffreyORCID,Bagdasar OvidiuORCID,Trovati MarcelloORCID

Abstract

Abstract The dynamic travelling salesman problem (DTSP) is a natural extension of the standard travelling salesman problem, and it has attracted significant interest in recent years due to is practical applications. In this article, we propose an efficient solution for DTSP, based on a genetic algorithm (GA), and on the one-by-one revision of two sides (GORTS). More specifically, GORTS combines the global search ability of GA with the fast convergence feature of the method of one-by-one revision of two sides, in order to find the optimal solution in a short time. An experimental platform was designed to evaluate the performance of GORTS with TSPLIB. The experimental results show that the efficiency of GORTS compares favourably against other popular heuristic algorithms for DTSP. In particular, a prototype logistics system based on GORTS for a supermarket with an online map was designed and implemented. It was shown that this can provide optimised goods distribution routes for delivery staff, while considering real-time traffic information.

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference32 articles.

1. Alves RMF, Lopes CR (2015) Using genetic algorithms to minimize the distance and balance the routes for the multiple traveling salesman problem. In: in Proceedings of CEC, Sendai. 1–8

2. Avin R, Agin D, Adnan M (2012) Solving tsp using genetic algorithms—case of Kosovo, advances in. Computer Sci 12(11):256–260

3. Bessis N, Sotiriadis S, Pop F, Cristea V (2012) Optimizing the energy efficiency of message exchanging for service distribution in interoperable infrastructures. pp 105–112. https://doi.org/10.1109/iNCoS.2012.16

4. Blackwell BT, Branke J (2004) Multi-swarm optimization in dynamic environments. Applications of Evolutionary Computing, Evoworkshops 3005

5. Boryczka, U, Strak Ł (2012) A hybrid discrete particle swarm optimization with pheromone for dynamic traveling salesman problem. In: Computational Collective Intelligence. Technologies and Applications, LNCS pp 503–512

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3