Task Assignment for Multivehicle Systems Based on Collaborative Neurodynamic Optimization

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Detail(s)

Original languageEnglish
Article number8741205
Pages (from-to)1145-1154
Journal / PublicationIEEE Transactions on Neural Networks and Learning Systems
Volume31
Issue number4
Online published19 Jun 2019
Publication statusPublished - Apr 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.

Research Area(s)

  • Multivehicle systems, neurodynamic optimization, task assignment (TA)