AbstractThis paper investigates the complexity of the min–max and min–max regret versions of the min s–t cut and min cut problems. Even if the underlying problems are closely related and both polynomial, the complexities of their min–max and min–max regret versions, for a constant number of scenarios, are quite contrasted since they are respectively strongly NP-hard and polynomial. However, for a non-constant number of scenarios, these versions become strongly NP-hard for both problems. In the interval scenario case, min–max versions are trivially polynomial. Moreover, for min–max regret versions, we obtain the same contrasted results as for a constant number of scenarios: min–max regret min s–t cut is strongly NP-hard whereas min–max regre...
We consider a generalization of the 0–1 knapsack problem in which the profit of each item can take a...
AbstractWe show that a natural robust optimization variant of the knapsack problem is complete for t...
We consider a generalization of the 0–1 knapsack problem in which the profit of each item can take a...
This paper investigates the complexity of the min–max and min–max regret versions of the min s–t cut...
This paper investigates the complexity of the min-max and min-max regret versions of the s−t min cut...
AbstractThis paper investigates the complexity of the min–max and min–max regret versions of the min...
This paper investigates the complexity of the min–max and min–max regret assignment problems both in...
This paper investigates, for the first time in the literature, the approximation of min–max (regret)...
This paper investigates, for the first time in the literature, the approximation of min-max (regret)...
While the complexity of min-max and min-max regret versions of most classical combinatorial optimiza...
AbstractWhile the complexity of min–max and min–max regret versions of most classical combinatorial ...
We present in this paper general pseudo-polynomial time algorithms to solve min-maxand min-max regre...
We present in this paper general pseudo-polynomial time algorithms to solve min-max and min-max regr...
This is a summary of the most important results presented in the author’s PhD thesis. This thesis, w...
Minmax regret optimization aims at finding robust solutions that perform best in the worst-case, com...
We consider a generalization of the 0–1 knapsack problem in which the profit of each item can take a...
AbstractWe show that a natural robust optimization variant of the knapsack problem is complete for t...
We consider a generalization of the 0–1 knapsack problem in which the profit of each item can take a...
This paper investigates the complexity of the min–max and min–max regret versions of the min s–t cut...
This paper investigates the complexity of the min-max and min-max regret versions of the s−t min cut...
AbstractThis paper investigates the complexity of the min–max and min–max regret versions of the min...
This paper investigates the complexity of the min–max and min–max regret assignment problems both in...
This paper investigates, for the first time in the literature, the approximation of min–max (regret)...
This paper investigates, for the first time in the literature, the approximation of min-max (regret)...
While the complexity of min-max and min-max regret versions of most classical combinatorial optimiza...
AbstractWhile the complexity of min–max and min–max regret versions of most classical combinatorial ...
We present in this paper general pseudo-polynomial time algorithms to solve min-maxand min-max regre...
We present in this paper general pseudo-polynomial time algorithms to solve min-max and min-max regr...
This is a summary of the most important results presented in the author’s PhD thesis. This thesis, w...
Minmax regret optimization aims at finding robust solutions that perform best in the worst-case, com...
We consider a generalization of the 0–1 knapsack problem in which the profit of each item can take a...
AbstractWe show that a natural robust optimization variant of the knapsack problem is complete for t...
We consider a generalization of the 0–1 knapsack problem in which the profit of each item can take a...