Planning optimal trajectory in a 2D space with large number of nodes or coordinates is a challenging task. Path planning has various applications in the aviation industry, UAV, mobile robots, etc. So path planning algorithms should be efficient enough to manage the associated constraints such as time, travelling cost and energy in an optimal way. Evolutionary algorithm can be very effective in addressing such challenges. This paper reviews various approaches proposed for path planning of UAV using evolutionary algorithms. Formulating the appropriate fitness function according to the requirement of the problem is the major task, which affects the accuracy of the solution.


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    Titel :

    Trajectory Planning in 2D Space Using Evolutionary Algorithms


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Satapathy, Suresh Chandra (Herausgeber:in) / Bhateja, Vikrant (Herausgeber:in) / Ramakrishna Murty, M. (Herausgeber:in) / Gia Nhu, Nguyen (Herausgeber:in) / Jayasri Kotti (Herausgeber:in) / Raghuvanshi, Divyanshi (Autor:in) / Sahay, Anand Kumar (Autor:in) / Jena, Junali Jasmine (Autor:in) / Mohanty, Lipika (Autor:in) / Satapathy, Suresh Chandra (Autor:in)


    Erscheinungsdatum :

    04.10.2020


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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