{"title":"Real-time Route Re-planning based on Modified Particle Swarm Optimization Algorithm","authors":"Mingwei Lv, Chen Yang, Shaoqing Zhang","doi":"10.1109/ICEICT.2019.8846303","DOIUrl":null,"url":null,"abstract":"In this paper, the problem of three-dimensional real-time route replanning for Unmanned Aerial Vehicl(UAV) is formally defined, and the route penalty degree is used to evaluate the route. A modified particle swarm optimization algorithm (M-PSO) is proposed to solve the real-time route replanning problem. The Simulation results show that the modified particle swarm optimization algorithm has better real-time and stability in solving the 3D real-time route replanning problem. It can quickly search for routes that can avoid all threat and make the individuals in the population reach convergence state.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEICT.2019.8846303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, the problem of three-dimensional real-time route replanning for Unmanned Aerial Vehicl(UAV) is formally defined, and the route penalty degree is used to evaluate the route. A modified particle swarm optimization algorithm (M-PSO) is proposed to solve the real-time route replanning problem. The Simulation results show that the modified particle swarm optimization algorithm has better real-time and stability in solving the 3D real-time route replanning problem. It can quickly search for routes that can avoid all threat and make the individuals in the population reach convergence state.