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Meta-heuristic approach for solving multi-objective path planning for autonomous guided robot using PSO–GWO optimization algorithm with evolutionary programming

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Abstract

As path planning is an NP-hard problem it can be solved by multi-objective algorithms. In this article, we propose a multi-objective path planning algorithm which consists of three steps: (1) the first step consists of optimizing a path by the hybridization of the Grey Wolf optimizer-particle swarm optimization algorithm, it minimizes the path distance and smooths the path. (2) the second step, all optimal and feasible points generated by PSO–GWO algorithm are integrated with Local Search technique to convert any infeasible point into feasible point solution, the last step (3) depends on collision avoidance and detection algorithm, where mobile robot detects the presence of an obstacle in its sensing circle and then avoid them using collision avoidance algorithm. The proposed method is further improved by adding the mutation operators by evolutionary, it further solves path safety, length, and smooths it further for a mobile robot. Different simulations have been performed under numerous environments to test the feasibility of the proposed algorithm and it is shown the algorithm produces a more feasible path with a short distance and thus proves that it overcomes the shortcomings of other conventional techniques.

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Acknowledgements

This work was supported by the Universiti Sains Malaysia under the Bridging Grant (303\PELECT\6316121).

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Authors and Affiliations

  1. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Malaysia

    Faiza Gul, Wan Rahiman & S. S. N Alhady

  2. Cluster of Smart Port and Logistics Technology (COSPALT), Universiti Sains Malaysia, Nibong Tebal, Malaysia

    Wan Rahiman

  3. Department of Electrical Engineering, International Islamic University, Islamabad, Pakistan

    Ahmad Ali & Abdul Jalil

  4. Department of Electrical Engineering, Air University, Aerospace and Avionics Campus Kamra, Attock, Pakistan

    Imran Mir

Authors
  1. Faiza Gul
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  2. Wan Rahiman
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  3. S. S. N Alhady
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  4. Ahmad Ali
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  6. Abdul Jalil
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Correspondence to Wan Rahiman.

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Gul, F., Rahiman, W., Alhady, S.S.N. et al. Meta-heuristic approach for solving multi-objective path planning for autonomous guided robot using PSO–GWO optimization algorithm with evolutionary programming. J Ambient Intell Human Comput 12, 7873–7890 (2021). https://doi.org/10.1007/s12652-020-02514-w

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