Study of the aircraft conflict resolution method based on modified particle swarm optimization
Conflict resolution requires the aircraft to adopt an effective method to meet the constraints of the working space. Aiming at the problem of conflict resolution in multi obstacle environment, a novelty algorithm based on particle swarm optimization (PSO) is proposed for conflict resolution which me...
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Hebei University of Science and Technology
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doaj-f9e4fb64015e4ce1a058e096ad1d01712020-11-25T01:33:41ZzhoHebei University of Science and TechnologyJournal of Hebei University of Science and Technology1008-15422016-10-0137549149610.7535/hbkd.2016yx05010b201605010Study of the aircraft conflict resolution method based on modified particle swarm optimizationRan ZHEN0Chao SI1Xueli WU2Jianhua ZHANG3Xiaojing WU4School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei 050018, ChinaSchool of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei 050018, ChinaSchool of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei 050018, ChinaSchool of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei 050018, ChinaSchool of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei 050018, ChinaConflict resolution requires the aircraft to adopt an effective method to meet the constraints of the working space. Aiming at the problem of conflict resolution in multi obstacle environment, a novelty algorithm based on particle swarm optimization (PSO) is proposed for conflict resolution which meets the mentioned constrains. The proposed DARPSO is similar to PSO with two modifications: firstly, it takes into account the obstacle avoidance; secondly, it has a mechanism to escape from local optima. Various experimental results obtained in simulations show that the proposed DARPSO is much more superior than PSO. The DARPSO is applied to the process of conflict resolution of aircrafts, and it is simulated. The simulation results show that the proposed algorithm can avoid the obstacles and complete conflict resolution effectively.http://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b201605010&flag=1&journal_algorithm theoriesaircraftconflict detectionconflict resolutionparticle swarm optimization |
collection |
DOAJ |
language |
zho |
format |
Article |
sources |
DOAJ |
author |
Ran ZHEN Chao SI Xueli WU Jianhua ZHANG Xiaojing WU |
spellingShingle |
Ran ZHEN Chao SI Xueli WU Jianhua ZHANG Xiaojing WU Study of the aircraft conflict resolution method based on modified particle swarm optimization Journal of Hebei University of Science and Technology algorithm theories aircraft conflict detection conflict resolution particle swarm optimization |
author_facet |
Ran ZHEN Chao SI Xueli WU Jianhua ZHANG Xiaojing WU |
author_sort |
Ran ZHEN |
title |
Study of the aircraft conflict resolution method based on modified particle swarm optimization |
title_short |
Study of the aircraft conflict resolution method based on modified particle swarm optimization |
title_full |
Study of the aircraft conflict resolution method based on modified particle swarm optimization |
title_fullStr |
Study of the aircraft conflict resolution method based on modified particle swarm optimization |
title_full_unstemmed |
Study of the aircraft conflict resolution method based on modified particle swarm optimization |
title_sort |
study of the aircraft conflict resolution method based on modified particle swarm optimization |
publisher |
Hebei University of Science and Technology |
series |
Journal of Hebei University of Science and Technology |
issn |
1008-1542 |
publishDate |
2016-10-01 |
description |
Conflict resolution requires the aircraft to adopt an effective method to meet the constraints of the working space. Aiming at the problem of conflict resolution in multi obstacle environment, a novelty algorithm based on particle swarm optimization (PSO) is proposed for conflict resolution which meets the mentioned constrains. The proposed DARPSO is similar to PSO with two modifications: firstly, it takes into account the obstacle avoidance; secondly, it has a mechanism to escape from local optima. Various experimental results obtained in simulations show that the proposed DARPSO is much more superior than PSO. The DARPSO is applied to the process of conflict resolution of aircrafts, and it is simulated. The simulation results show that the proposed algorithm can avoid the obstacles and complete conflict resolution effectively. |
topic |
algorithm theories aircraft conflict detection conflict resolution particle swarm optimization |
url |
http://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b201605010&flag=1&journal_ |
work_keys_str_mv |
AT ranzhen studyoftheaircraftconflictresolutionmethodbasedonmodifiedparticleswarmoptimization AT chaosi studyoftheaircraftconflictresolutionmethodbasedonmodifiedparticleswarmoptimization AT xueliwu studyoftheaircraftconflictresolutionmethodbasedonmodifiedparticleswarmoptimization AT jianhuazhang studyoftheaircraftconflictresolutionmethodbasedonmodifiedparticleswarmoptimization AT xiaojingwu studyoftheaircraftconflictresolutionmethodbasedonmodifiedparticleswarmoptimization |
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1725076474803781632 |