The research direction is the dynamic scheduling method of aerospace surveying and mapping system based on chaotic genetic algorithm. This is a new technology to solve complex problems in aerospace systems and has been proved to be very effective in solving these problems. The dynamic scheduling algorithm, which can be used as a tool to improve aircraft performance by reducing turnaround time. This will help airlines reduce operating costs and increase profits. This paper aims to design a dynamic scheduling method for aerospace T/C system based on chaotic genetic algorithm. It also includes simulation results and performance analysis of the proposed method in different parameters (such as number of jobs, number of machines, number of processors, etc.).


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    Titel :

    Research on Dynamic Scheduling Method of Aerospace TT&C System Based on Chaos Genetic Algorithm


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Hung, Jason C. (Herausgeber:in) / Yen, Neil (Herausgeber:in) / Chang, Jia-Wei (Herausgeber:in) / Sun, Xinghua (Autor:in)

    Kongress:

    International Conference on Frontier Computing ; 2023 ; Tokyo, Japan July 10, 2023 - July 13, 2023



    Erscheinungsdatum :

    23.01.2024


    Format / Umfang :

    5 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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