{"title":"Knowledge and Experience Guided Heterogeneous Multi-UAV Mission Planning Method","authors":"Weijiang Zhou, Hongxing Zheng, Xudong Xie","doi":"10.1109/IIP57348.2022.00090","DOIUrl":null,"url":null,"abstract":"Heterogeneous multi-UAV mission planning, as the action guidelines of the team, can effectively improve the operational efficiency and mission revenue of the UAV team. Aiming at the mission planning problem of heterogeneous multi-UAV systems, a heuristic planning algorithm based on knowledge and experience guidance is proposed. Guiding the search direction of the algorithm through prior knowledge and optimizing experience, the optimization effect of the algorithm in complex decision space and large-scale mission planning problems can be improved. Finally, detailed simulation experiments are carried out to verify the effectiveness of the proposed algorithm.","PeriodicalId":412907,"journal":{"name":"2022 4th International Conference on Intelligent Information Processing (IIP)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Intelligent Information Processing (IIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIP57348.2022.00090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Heterogeneous multi-UAV mission planning, as the action guidelines of the team, can effectively improve the operational efficiency and mission revenue of the UAV team. Aiming at the mission planning problem of heterogeneous multi-UAV systems, a heuristic planning algorithm based on knowledge and experience guidance is proposed. Guiding the search direction of the algorithm through prior knowledge and optimizing experience, the optimization effect of the algorithm in complex decision space and large-scale mission planning problems can be improved. Finally, detailed simulation experiments are carried out to verify the effectiveness of the proposed algorithm.