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.
|Number of pages||10|
|Journal||IEEE Transactions on Neural Networks and Learning Systems|
|Publication status||Published - Apr 2020|
- Multivehicle systems
- Neurodynamic optimization
- Task assignment (TA)