13 citations · 13 across the 5 of their papers we have counts for
5 papers
Robust optimization with belief functions
Marc Goerigk, Romain Guillaume, Adam Kasperski +1
In this paper, an optimization problem with uncertain objective function coefficients is considered. The uncertainty is specified by providing a discrete scenario set, containing p…
A framework of distributionally robust possibilistic optimization
Romain Guillaume, Adam Kasperski, Pawel Zielinski
In this paper, an optimization problem with uncertain constraint coefficients is considered. Possibility theory is used to model the uncertainty. Namely, a joint possibility distri…
Distributionally robust possibilistic optimization problems
Romain Guillaume, Adam Kasperski, Pawel Zielinski
In this paper a class of optimization problems with uncertain linear constraints is discussed. It is assumed that the constraint coefficients are random vectors whose probability d…
Robust production planning with budgeted cumulative demand uncertainty
Romain Guillaume, Adam Kasperski, Pawel Zielinski
This paper deals with a problem of production planning, which is a version of the capacitated single-item lot sizing problem with backordering under demand uncertainty, modeled by…
A Robust Lot Sizing Problem with Ill-known Demands
Romain Guillaume, Przemyslaw Kobylanski, Pawel Zielinski
The paper deals with a lot sizing problem with ill-known demands modeled by fuzzy intervals whose membership functions are possibility distributions for the values of the uncertain…