Constructing ensemble models has become a common method for corporate credit risk early
warning, while as to deep learning model with better predictive ability, there have been no …

It is challenging for decision‐makers (DMs) to deal with uncertainties in multi‐level
agricultural water resource systems, where DMs independently make decisions but have …

Reconfigurable manufacturing systems are dynamic systems designed with scalable and
flexible production capabilities to address changing market demands. This paper presents a …

In this paper a class of robust two-stage combinatorial optimization problems is discussed. It
is assumed that the uncertain second-stage costs are specified in the form of a convex …

A robust two-stage problem of selecting a single minimum cost representative out of n
candidates is studied. Each candidate is associated with an uncertain cost that is described …

Because $\Sigma^ p_2 $-and $\Sigma^ p_3 $-hardness proofs are usually tedious and
difficult, not so many complete problems for these classes are known. This is especially true …

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Given a nominal combinatorial optimization problem, we consider a robust two-stages
variant with polyhedral cost uncertainty, called DDID. In the first stage, DDID selects a subset …

Резиме: У општем случају, решавање локацијских проблема подразумева одабир
локација за успостављање ресурса и алокацију корисника. У пракси, одабир локација …