Ant colony algorithm suffers drawbacks such as slow convergence and easy to trap into local optimum, therefore the path planning for mobile robot based on an improved ant colony optimization algorithm is proposed. The workspace for mobile robot is established with grid method. A hybrid ant colony which is composed of common ants and exploratory ants is utilized to avoid trapping into local optimum. To increase the convergence speed, the pheromone update mechanism is improved by enhancing the sensitivity of the ants to the optimal path with reserving the elite ants. The optimal collision free path can be planned rapidly in the workspace with multiple obstacles. Simulation and experiment results show that the algorithm is practical and effective. P. Hema Suganthi | Mrs. K. Subha "Path Navigation in ACO Using Mobile Robot" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21642.pdf


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    Titel :

    Path Navigation in ACO Using Mobile Robot


    Beteiligte:
    P. Hema Suganthi (Autor:in) / Mrs. K. Subha (Autor:in)

    Erscheinungsdatum :

    18.04.2019


    Anmerkungen:

    oai:zenodo.org:3582565
    International Journal of Trend in Scientific Research and Development 3(3) 164-169



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




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