Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/377
Title: Using genetic algorithm in implementing capacitated vehicle routing problem
Authors: Mohammed, M.A. 
Ahmad, M.S. 
Mostafa, S.A. 
Keywords: Capacitated Vehicle Routing Problem
Genetic Algorithm
Optimal route
Vehicle Routing Problem
Issue Date: 2012
Conference: 2012 International Conference on Computer and Information Science 
Abstract: 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.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867954555&doi=10.1109%2fICCISci.2012.6297250&partnerID=40&md5=6e4cd28f948014242567fba5a1f7bce7
http://dspace.uniten.edu.my:80/jspui/handle/123456789/377
DOI: 10.1109/ICCISci.2012.6297250
Appears in Collections:CSIT Scholarly Publication

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