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Using genetic algorithm in implementing capacitated vehicle routing problem

Vehicle Routing Problem (VRP) has been considered as a significant segment in logistic handling. Thus, a proper selection of vehicle routes plays a very important part to ameliorate the economic benefits of logistic operations. In this paper, we consider the application of a Genetic Algorithm (GA) t...

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Main Authors:	Mohammed M.A., Ahmad M.S., Mostafa S.A.
Other Authors:	57192089894
Format:	Conference paper
Published:	2023
Subjects:	Capacitated Vehicle Routing Problem (CVRP) Genetic Algorithm (GA) optimal route Vehicle Routing Problem (VRP) Genetic algorithms Information science Routing algorithms Technology Travel time Capacitated vehicle routing problem Economic benefits Logistic operations Optimal routes Optimum route Set of customers Vehicle routing problem Network routing
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id	my.uniten.dspace-30310
record_format	dspace
spelling	my.uniten.dspace-303102023-12-29T15:46:34Z Using genetic algorithm in implementing capacitated vehicle routing problem Mohammed M.A. Ahmad M.S. Mostafa S.A. 57192089894 56036880900 37036085800 Capacitated Vehicle Routing Problem (CVRP) Genetic Algorithm (GA) optimal route Vehicle Routing Problem (VRP) Genetic algorithms Information science Routing algorithms Technology Travel time Capacitated vehicle routing problem Economic benefits Logistic operations Optimal routes Optimum route Set of customers Vehicle routing problem Network routing Vehicle Routing Problem (VRP) has been considered as a significant segment in logistic handling. Thus, a proper selection of vehicle routes plays a very important part to ameliorate the economic benefits of logistic operations. In this paper, we consider the application of a Genetic Algorithm (GA) to a Capacitated Vehicle Routing Problem (CVRP) in which a set of vehicles with limits on capacity and travel time are available to service a set of customers and constrained by earliest and latest time for serving. The results of our test show that GA is able to determine the optimum route for the vehicles while maintaining their constraints of capacity and travel time. � 2012 IEEE. Final 2023-12-29T07:46:33Z 2023-12-29T07:46:33Z 2012 Conference paper 10.1109/ICCISci.2012.6297250 2-s2.0-84867954555 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867954555&doi=10.1109%2fICCISci.2012.6297250&partnerID=40&md5=6e4cd28f948014242567fba5a1f7bce7 https://irepository.uniten.edu.my/handle/123456789/30310 1 6297250 257 262 Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Capacitated Vehicle Routing Problem (CVRP) Genetic Algorithm (GA) optimal route Vehicle Routing Problem (VRP) Genetic algorithms Information science Routing algorithms Technology Travel time Capacitated vehicle routing problem Economic benefits Logistic operations Optimal routes Optimum route Set of customers Vehicle routing problem Network routing
spellingShingle	Capacitated Vehicle Routing Problem (CVRP) Genetic Algorithm (GA) optimal route Vehicle Routing Problem (VRP) Genetic algorithms Information science Routing algorithms Technology Travel time Capacitated vehicle routing problem Economic benefits Logistic operations Optimal routes Optimum route Set of customers Vehicle routing problem Network routing Mohammed M.A. Ahmad M.S. Mostafa S.A. Using genetic algorithm in implementing capacitated vehicle routing problem
description	Vehicle Routing Problem (VRP) has been considered as a significant segment in logistic handling. Thus, a proper selection of vehicle routes plays a very important part to ameliorate the economic benefits of logistic operations. In this paper, we consider the application of a Genetic Algorithm (GA) to a Capacitated Vehicle Routing Problem (CVRP) in which a set of vehicles with limits on capacity and travel time are available to service a set of customers and constrained by earliest and latest time for serving. The results of our test show that GA is able to determine the optimum route for the vehicles while maintaining their constraints of capacity and travel time. � 2012 IEEE.
author2	57192089894
author_facet	57192089894 Mohammed M.A. Ahmad M.S. Mostafa S.A.
format	Conference paper
author	Mohammed M.A. Ahmad M.S. Mostafa S.A.
author_sort	Mohammed M.A.
title	Using genetic algorithm in implementing capacitated vehicle routing problem
title_short	Using genetic algorithm in implementing capacitated vehicle routing problem
title_full	Using genetic algorithm in implementing capacitated vehicle routing problem
title_fullStr	Using genetic algorithm in implementing capacitated vehicle routing problem
title_full_unstemmed	Using genetic algorithm in implementing capacitated vehicle routing problem
title_sort	using genetic algorithm in implementing capacitated vehicle routing problem
publishDate	2023
_version_	1806427661548912640
score	13.222552

Using genetic algorithm in implementing capacitated vehicle routing problem

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