Robust multi-sensor scheduling for multi-site surveillance

Nikita Boyko (), Timofey Turko, Vladimir Boginski, David E. Jeffcoat, Stanislav Uryasev, Grigoriy Zrazhevsky and Panos M. Pardalos
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Nikita Boyko: University of Florida
Timofey Turko: University of Florida
Vladimir Boginski: University of Florida REEF
David E. Jeffcoat: Air Force Research Laboratory
Stanislav Uryasev: University of Florida
Grigoriy Zrazhevsky: University of Florida
Panos M. Pardalos: University of Florida

Journal of Combinatorial Optimization, 2011, vol. 22, issue 1, No 3, 35-51

Abstract: Abstract This paper presents mathematical programming techniques for solving a class of multi-sensor scheduling problems. Robust optimization problems are formulated for both deterministic and stochastic cases using linear 0–1 programming techniques. Equivalent formulations are developed in terms of cardinality constraints. We conducted numerical case studies and analyzed the performance of optimization solvers on the considered problem instances.

Keywords: Mathematical programming; Multi-sensor scheduling; Combinatorial optimization; Robust optimization; Risk measures (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1007/s10878-009-9271-4

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