Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Website thesai.org
Follow Us
Contact Info
Follow Us
Research Article | Open Access |

Open Vehicle Routing Problem by Ant Colony Optimization

Author 1: Er. Gurpreet Singh Author 2: Dr. Vijay Dhir
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 5, No. 3 · Published 2014 · Cited by 15

DOI: https://doi.org/10.14569/IJACSA.2014.050308

Abstract

Vehicle routing problem (VRP) is real-world combinatorial optimization problem which determine the optimal route of a vehicle. Generally, toprovide the efficientvehicle serving to the customer through different services by visiting the number of cities or stops. The VRP follows the Travelling Salesman Problem (TSP), in which each of vehicle visiting a set of cities such that every city is visited by exactly one vehicle only once. This work proposes the Ant Colony Optimization (ACO)-TSP algorithm to eliminate the tour loop for Open Vehicle routing Problem (OVRP). A key aspect of this algorithm is to plan the routes of buses that must pick up and deliver the school students from various bus stops on time, especially in the case of far distance covered by the vehicle in a rural area and find out the efficient and safe vehicle route.

Keywords

How to Cite this Article

Singh, E. G., & Dhir, D. V. (2014). Open Vehicle Routing Problem by Ant Colony Optimization. International Journal of Advanced Computer Science and Applications, 5(3). https://doi.org/10.14569/IJACSA.2014.050308

Singh, Er. Gurpreet, and Dr. Vijay Dhir. "Open Vehicle Routing Problem by Ant Colony Optimization." International Journal of Advanced Computer Science and Applications, vol. 5, no. 3, 2014, https://doi.org/10.14569/IJACSA.2014.050308.

@article{Singh2014,
  title     = {Open Vehicle Routing Problem by Ant Colony Optimization},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {5},
  number    = {3},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {Er. Gurpreet Singh and Dr. Vijay Dhir},
  doi       = {10.14569/IJACSA.2014.050308},
  url       = {https://doi.org/10.14569/IJACSA.2014.050308}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.