Exploration of space has always been a major undertaking for humanity, driven by our natural curiosity and desire to fathom the secrets of the cosmos. Space exploration has advanced significantly over the years, from manned expeditions to the moon to the deployment of sophisticated robotic probes to distant celestial planets. However, as we attempt to broaden our understanding and reach into the cosmos, new challenges emerge that demand novel ways. Optimization methods are critical in the allocation of resources for robotic space exploration, which is critical for the success of long-duration missions. The chapter focuses on the concepts and procedures of optimization for autonomous robot space exploration and examines how optimization algorithms can efficiently optimize resource utilization in the context of robotic space exploration. At the end of the chapter, a formal optimization technique designed specifically for space exploration missions is presented. The method involves a coordinated multi-robot exploration (CME) with a bio-inspired algorithm, i.e., Reptile algorithm. Proper simulation results have been added as a reference for readers. In addition, special emphasis is paid to the optimization framework’s adaptability to diverse exploration requirements.


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    Titel :

    Mastering the Cosmos: Leveraging Optimization Methods for Advances in Space Exploration


    Beteiligte:
    Kulkarni, Anand J. (Herausgeber:in) / Gandomi, Amir H. (Herausgeber:in) / Gul, Faiza (Autor:in) / Mir, Imran (Autor:in)

    Erschienen in:

    Handbook of Formal Optimization ; Kapitel : 47 ; 1203-1228


    Erscheinungsdatum :

    2024-07-17


    Format / Umfang :

    26 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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