Task Assignment for Multivehicle Systems Based on Collaborative Neurodynamic Optimization

Jiasen Wang, Jun Wang, Hangjun Che

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

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.

Original languageEnglish
Article number8741205
Pages (from-to)1145-1154
Number of pages10
JournalIEEE Transactions on Neural Networks and Learning Systems
Volume31
Issue number4
DOIs
Publication statusPublished - Apr 2020
Externally publishedYes

Keywords

  • Multivehicle systems
  • Neurodynamic optimization
  • Task assignment (TA)

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