Collaborative Task Assignment for Multi-UAV with Sequence and Time Constrains
In this paper, based on task sequence and time constraint in the SEAD mission of multi-UAV, a heterogeneous multi-UAV cooperative task assignment mathematical model is established. We put forward a hybrid algorithm GSA-GA(gravity search algorithm-genetic algorithm) to resolve cooperative task assign...
Format: | Article |
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Language: | zho |
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EDP Sciences
2018-10-01
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Series: | Xibei Gongye Daxue Xuebao |
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Online Access: | https://www.jnwpu.org/articles/jnwpu/pdf/2018/05/jnwpu2018365p890.pdf |
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collection | DOAJ |
description | In this paper, based on task sequence and time constraint in the SEAD mission of multi-UAV, a heterogeneous multi-UAV cooperative task assignment mathematical model is established. We put forward a hybrid algorithm GSA-GA(gravity search algorithm-genetic algorithm) to resolve cooperative task assignment. The algorithm combines gravity search algorithm and genetic algorithm, improves the coding and decoding methods in updating the position. The simulation result shows that the GSA-GA has rapid convergence rate in solving the cooperative task assignment compared with the classic DPSO algorithm, and has the better resolution. |
first_indexed | 2024-03-09T08:53:56Z |
format | Article |
id | doaj.art-2805e3d5a764450bbd8f94e7f821e031 |
institution | Directory Open Access Journal |
issn | 1000-2758 2609-7125 |
language | zho |
last_indexed | 2024-03-09T08:53:56Z |
publishDate | 2018-10-01 |
publisher | EDP Sciences |
record_format | Article |
series | Xibei Gongye Daxue Xuebao |
spelling | doaj.art-2805e3d5a764450bbd8f94e7f821e0312023-12-02T13:32:35ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252018-10-0136589089610.1051/jnwpu/20183650890jnwpu2018365p890Collaborative Task Assignment for Multi-UAV with Sequence and Time Constrains0123School of Electronics and Information, Northwestern Polytechnical UniversitySchool of Electronics and Information, Northwestern Polytechnical UniversitySchool of Electronics and Information, Northwestern Polytechnical UniversityShenyang Aircraft Design & Research InstituteIn this paper, based on task sequence and time constraint in the SEAD mission of multi-UAV, a heterogeneous multi-UAV cooperative task assignment mathematical model is established. We put forward a hybrid algorithm GSA-GA(gravity search algorithm-genetic algorithm) to resolve cooperative task assignment. The algorithm combines gravity search algorithm and genetic algorithm, improves the coding and decoding methods in updating the position. The simulation result shows that the GSA-GA has rapid convergence rate in solving the cooperative task assignment compared with the classic DPSO algorithm, and has the better resolution.https://www.jnwpu.org/articles/jnwpu/pdf/2018/05/jnwpu2018365p890.pdfunmanned aerial vehicle(uav)collaborative task assignmentseadcoupling constraints |
spellingShingle | Collaborative Task Assignment for Multi-UAV with Sequence and Time Constrains Xibei Gongye Daxue Xuebao unmanned aerial vehicle(uav) collaborative task assignment sead coupling constraints |
title | Collaborative Task Assignment for Multi-UAV with Sequence and Time Constrains |
title_full | Collaborative Task Assignment for Multi-UAV with Sequence and Time Constrains |
title_fullStr | Collaborative Task Assignment for Multi-UAV with Sequence and Time Constrains |
title_full_unstemmed | Collaborative Task Assignment for Multi-UAV with Sequence and Time Constrains |
title_short | Collaborative Task Assignment for Multi-UAV with Sequence and Time Constrains |
title_sort | collaborative task assignment for multi uav with sequence and time constrains |
topic | unmanned aerial vehicle(uav) collaborative task assignment sead coupling constraints |
url | https://www.jnwpu.org/articles/jnwpu/pdf/2018/05/jnwpu2018365p890.pdf |