Title
Solving vehicle routing problem by using improved genetic algorithm for optimal solution.
Abstract
•The VRP of UNITEN shuttle bus service includes transportation speed and costs, and students’ capacity., i.e., CVRP.•We apply an improved genetic algorithm to implement the CVRP model for optimizing UNITEN’s shuttle bus services.•The model achieves an optimal solution for CVRP of UNITEN with the accompanying targets by reducing the time consuming and distance for all paths.•We found that, the proportion of reduction the distance for each route is relatively short, but the savings in the distance becomes greater when calculating the total distances traveled by all buses daily or monthly. This applies also to the time factor that has been reduced slightly based on the rate of reduction in the distances of the routes.
Year
DOI
Venue
2017
10.1016/j.jocs.2017.04.003
Journal of Computational Science
Keywords
Field
DocType
Genetic algorithm,Vehicle routing problem,Capacitated vehicle routing problem,Optimal solution
Vehicle routing problem,Mathematical optimization,Crossover,Computer science,Time factor,Garbage collection,Genetic algorithm,Complex problems
Journal
Volume
ISSN
Citations 
21
1877-7503
25
PageRank 
References 
Authors
1.17
9
6
Name
Order
Citations
PageRank
Mazin Abed Mohammed11297.34
Mohd Khanapi Abd Ghani220712.39
raed31559.78
Salama A. Mostafa416621.72
Mohd Sharifuddin Ahmad518934.38
Dheyaa Ahmed Ibrahim6834.58