Abstract
In practical problem situations data are usually inherently unreliable. A mathematical representation of uncertainty leads to stochastic optimization problems. In this paper the complexity of stochastic combinatorial optimization problems is discussed. Surprisingly, certain stochastic versions of NP-hard determinstic combinatorial problems appear to be solvable in polynomial time.
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Rinnooy Kan, A.H.G., Stougie, L. On the relation between complexity and uncertainty. Ann Oper Res 18, 17–23 (1989). https://doi.org/10.1007/BF02097793
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DOI: https://doi.org/10.1007/BF02097793