This paper investigates the complexity of the min–max and min–max regret assignment problems both in the discrete scenario and interval data cases. We show that these problems are strongly NP-hard for an unbounded number of scenarios. We also show that the interval data min–max regret assignment problem is strongly NP-hard.ou
We consider the generalized assignment problem (GAP) with min-max regret criterion under interval co...
We consider a generalization of the 0-1 knapsack problem in which the profit of each item can take a...
We consider the generalized assignment problem (GAP) with min-max regret criterion under interval co...
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 versions of the min s–t cut...
Many real life optimization problems do not have accurate estimates of the problem parameters at the...
Many real life optimization problems do not have accurate estimates of the problem parameters at the...
Many real life optimization problems do not have accurate estimates of the problem parameters at the...
none4siMany real life optimization problems do not have accurate estimates of the problem parameters...
Many real life optimization problems do not have accurate estimates of the problem parameters at the...
This paper investigates the complexity of the min-max and min-max regret versions of the s−t min cut...
International audienceThe following optimization problem is studied. There are several sets of integ...
In this paper, we provide polynomial and pseudopolynomial algorithms for classes of particular insta...
We consider a generalization of the 0–1 knapsack problem in which the profit of each item can take a...
We consider a generalization of the 0–1 knapsack problem in which the profit of each item can take a...
We consider the generalized assignment problem (GAP) with min-max regret criterion under interval co...
We consider a generalization of the 0-1 knapsack problem in which the profit of each item can take a...
We consider the generalized assignment problem (GAP) with min-max regret criterion under interval co...
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 versions of the min s–t cut...
Many real life optimization problems do not have accurate estimates of the problem parameters at the...
Many real life optimization problems do not have accurate estimates of the problem parameters at the...
Many real life optimization problems do not have accurate estimates of the problem parameters at the...
none4siMany real life optimization problems do not have accurate estimates of the problem parameters...
Many real life optimization problems do not have accurate estimates of the problem parameters at the...
This paper investigates the complexity of the min-max and min-max regret versions of the s−t min cut...
International audienceThe following optimization problem is studied. There are several sets of integ...
In this paper, we provide polynomial and pseudopolynomial algorithms for classes of particular insta...
We consider a generalization of the 0–1 knapsack problem in which the profit of each item can take a...
We consider a generalization of the 0–1 knapsack problem in which the profit of each item can take a...
We consider the generalized assignment problem (GAP) with min-max regret criterion under interval co...
We consider a generalization of the 0-1 knapsack problem in which the profit of each item can take a...
We consider the generalized assignment problem (GAP) with min-max regret criterion under interval co...