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...

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Format: Article
Language:zho
Published: EDP Sciences 2018-10-01
Series:Xibei Gongye Daxue Xuebao
Subjects:
Online Access:https://www.jnwpu.org/articles/jnwpu/pdf/2018/05/jnwpu2018365p890.pdf
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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.
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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