Title | ||
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Solving vehicle routing problem by using improved genetic algorithm for optimal solution. |
Abstract | ||
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•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 |
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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 Mohammed | 1 | 129 | 7.34 |
Mohd Khanapi Abd Ghani | 2 | 207 | 12.39 |
raed | 3 | 155 | 9.78 |
Salama A. Mostafa | 4 | 166 | 21.72 |
Mohd Sharifuddin Ahmad | 5 | 189 | 34.38 |
Dheyaa Ahmed Ibrahim | 6 | 83 | 4.58 |