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Task Assignment for Multivehicle Systems Based on Collaborative Neurodynamic Optimization.

Authors :
Wang, Jiasen
Wang, Jun
Che, Hangjun
Source :
IEEE Transactions on Neural Networks & Learning Systems. Apr2020, Vol. 31 Issue 4, p1145-1154. 10p.
Publication Year :
2020

Abstract

This paper addresses task assignment (TA) for multivehicle systems. Multivehicle TA problems are formulated as a combinatorial optimization problem and further as a global optimization problem. To fulfill heterogeneous tasks, cooperation among heterogeneous vehicles is incorporated in the problem formulations. A collaborative neurodynamic optimization approach is developed for solving the TA problems. Experimental results on four types of TA problems are discussed to substantiate the efficacy of the approach. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2162237X
Volume :
31
Issue :
4
Database :
Academic Search Index
Journal :
IEEE Transactions on Neural Networks & Learning Systems
Publication Type :
Periodical
Accession number :
142612650
Full Text :
https://doi.org/10.1109/TNNLS.2019.2918984