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. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1007/978-3-642-17155-0_8 | T. Computational Collective Intelligence |
Keywords | Field | DocType |
nonlinear uav task assignment,target score,main issue,numerical result,dc algorithm,intrinsic uncertainty,convex function,uncertain environment,task assignment,military operation,new robust approach | Weapon target assignment problem,Mathematical optimization,Nonlinear system,Computer science,Generalized assignment problem,Robustness (computer science),Assignment problem,Convex function,Dc programming,Scalability | Journal |
Volume | ISSN | ISBN |
2 | 0302-9743 | 3-642-17154-0 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Le Thi Hoai An | 1 | 1038 | 80.20 |
Quang Thuan Nguyen | 2 | 10 | 2.93 |