A robust approach for nonlinear UAV task assignment problem under uncertainty

Authors:
Le Thi Hoai An;Nguyen Quang Thuan
Affiliations:
Laboratory of Theoretical and Applied Computer Science, Paul Verlaine-Metz University, Metz, France;Laboratory of Theoretical and Applied Computer Science, Paul Verlaine-Metz University, Metz, France
Venue:
Transactions on computational collective intelligence II
Year:
2010

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Abstract

This paper presents a new robust approach to the task assignment of unmanned aerial vehicles (UAVs) operating in uncertain environments whose the objective is maximizing the target score. The intrinsic uncertainty imbedded in military operations makes the problem more challenging. Scalability and robustness are recognized as two main issues. We deal with these issues by an approach based on DC (Difference of Convex functions) programming and DCA (DC Algorithm). The numerical results show that this approach is efficient.