Finding the shortest path using the ant colony optimization

  • Authors

    • K Yella Swamy
    • Saranya Gogineni
    • Yaswanth Gunturu
    • Deepchand Gudapati
    • Ramu Tirumalasetti
    2017-12-21
    https://doi.org/10.14419/ijet.v7i1.1.9859
  • Optimization, Quadratic, Pheromone, Trails, NP-Hard.

  • Abstract

    An ant colony optimization(ACO) is a techniquewhich is recently introduced ,and it is applied to solve several np-hard problems ,we can get optimal solution in a short time Main concept of the ACO is based on the behavior of ants in their colony for finding a source of food. They will communicate indirectly through pheromone trails. Computer based simulation is can generate good solution by using artificial ants, by using that general behavior we are solving travelling Sale man problem.

  • References

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  • How to Cite

    Yella Swamy, K., Gogineni, S., Gunturu, Y., Gudapati, D., & Tirumalasetti, R. (2017). Finding the shortest path using the ant colony optimization. International Journal of Engineering & Technology, 7(1.1), 392-396. https://doi.org/10.14419/ijet.v7i1.1.9859

    Received date: 2018-03-04

    Accepted date: 2018-03-04

    Published date: 2017-12-21