Publication:
Using genetic algorithm in implementing capacitated vehicle routing problem

Simple item page
dc.citedby35
dc.contributor.authorMohammed M.A.en_US
dc.contributor.authorAhmad M.S.en_US
dc.contributor.authorMostafa S.A.en_US
dc.contributor.authorid57192089894en_US
dc.contributor.authorid56036880900en_US
dc.contributor.authorid37036085800en_US
dc.date.accessioned2023-12-29T07:46:33Z
dc.date.available2023-12-29T07:46:33Z
dc.date.issued2012
dc.description.abstractVehicle 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo6297250
dc.identifier.doi10.1109/ICCISci.2012.6297250
dc.identifier.epage262
dc.identifier.scopus2-s2.0-84867954555
dc.identifier.spage257
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84867954555&doi=10.1109%2fICCISci.2012.6297250&partnerID=40&md5=6e4cd28f948014242567fba5a1f7bce7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30310
dc.identifier.volume1
dc.pagecount5
dc.sourceScopus
dc.sourcetitle2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings
dc.subjectCapacitated Vehicle Routing Problem (CVRP)
dc.subjectGenetic Algorithm (GA)
dc.subjectoptimal route
dc.subjectVehicle Routing Problem (VRP)
dc.subjectGenetic algorithms
dc.subjectInformation science
dc.subjectRouting algorithms
dc.subjectTechnology
dc.subjectTravel time
dc.subjectCapacitated vehicle routing problem
dc.subjectEconomic benefits
dc.subjectLogistic operations
dc.subjectOptimal routes
dc.subjectOptimum route
dc.subjectSet of customers
dc.subjectVehicle routing problem
dc.subjectNetwork routing
dc.titleUsing genetic algorithm in implementing capacitated vehicle routing problemen_US
dc.typeConference paperen_US
dspace.entity.typePublication
Files
Collections
SCOPUS