Using air–ground cooperation to perform tasks, such as detection and search on specific areas, is an essential means to accomplish special tasks. Research on the scheduling and matching of heterogeneous agents for intelligent tasks to meet special task requirements under the condition of satisfying multifaceted party requirements is a popular research topic in the field of task assignment using multiple agents. To overcome the shortcoming of traditional task assignment which only has a single matching dimension and does not consider task conflicts, this paper proposes a novel NSGA-III-based multi-objective task assignment algorithm for heterogeneous agents, namely heterogeneous conflict resolution multitasking optimization (HCRMO), to address the traditional task assignment process. The algorithm comprises a conflict-free minimum solution space and a task-agent conflict resolution module (TCCRM). The algorithm can build a search gene pool to meet the requirements, construct a solution space for each task, and quantify the potential conflict indicators of the task simultaneously to weaken the impact of agent conflicts due to variant search. Finally, the feasibility and effectiveness of the algorithm are verified through simulation.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multi-objective Collaborative Optimization Algorithm for Heterogeneous Cooperative Tasks Based on Conflict Resolution


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wu, Meiping (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Gu, Mancang (Herausgeber:in) / Cheng, Jin (Herausgeber:in) / Zhang, Xuejun (Autor:in) / Liu, Hao (Autor:in) / Xue, Lele (Autor:in) / Li, Xiangmin (Autor:in) / Guo, Wei (Autor:in) / Yu, Shuangjiang (Autor:in)

    Kongress:

    International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021



    Erscheinungsdatum :

    2022-03-18


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Multi-objective Control Allocation with Conflict Resolution

    Jamil, R. / Salama, F. / Lone, M. et al. | British Library Conference Proceedings | 2012


    Multi-objective Control Allocation with Conflict Resolution

    Jamil, R. / Salama, F. / Lone, M. et al. | AIAA | 2012


    Intelligent vehicle urban intersection passing decision multi-objective optimization model based on conflict resolution

    CHEN XUEMEI / CHENG YING / OU YANGJIAXIN et al. | Europäisches Patentamt | 2020

    Freier Zugriff


    SIMULATION OF THE MULTI-OBJECTIVE RESOLUTION OF AIRCRAFT CONFLICT

    Volodymyr Kharchenko / Denys Vasyliev / Wang Bo | DOAJ | 2015

    Freier Zugriff