Author： Boyko Nikita
Publisher： Springer Publishing Company
ISSN： 1382-6905
Source： Journal of Combinatorial Optimization, Vol.22, Iss.1, 2011-07, pp. : 35-51
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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.
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