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In this paper a class of discrete optimization problems with uncertain costs is discussed. The uncertainty is modeled by providing a discrete scenario set, in which each scenario represents a possible realization of the element costs (the problem parameters). It is assumed that a partial information about scenario occurrence probabilities is also available. Namely, each such a probability is known...
This paper deals with a class of combinatorial optimization problems with uncertain costs. The uncertainty is modeled by specifying a scenario set containing a finite number of possible realizations of the costs called scenarios. Additionally, a possibility distribution on the scenario set can be defined. Two robust models, namely the min-max and two-stage, for hedging against uncertainty of the costs...
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