The knapsack problem is a classical combinatorial optimization problem used to model many industrial situations. The robust version of this problem was studied in the literature using a max–min or min–max regret criterion. In this paper, we show the drawbacks of such criteria and propose a new robustness approach, called lexicographic α-robustness. We show that the complexity of the lexicographic α-robust problem does not increase compared with the max–min version and present a pseudo-polynomial algorithm in the case of a bounded number of scenarios.ou
This paper introduces a new optimization problem, namely the Polynomial Robust Knapsack Problem. It ...
International audienceRobustness in Operations Research/Decision Aid is often associated with min-ma...
International audienceRobustness in Operations Research/Decision Aid is often associated with min-ma...
International audienceThe knapsack problem is a classical combinatorial optimization problem used to...
The knapsack problem is a classical combinatorial problem used to model many industrial situations. ...
We show that a natural robust optimization variant of the knapsack problem is complete for the secon...
We show that a natural robust optimization variant of the knapsack problem is complete for the secon...
We show that a natural robust optimization variant of the knapsack problem is complete for the secon...
We show that a natural robust optimization variant of the knapsack problem is complete for the secon...
We show that a natural robust optimization variant of the knapsack problem is complete for the secon...
We show that a natural robust optimization variant of the knapsack problem is complete for the secon...
We show that a natural robust optimization variant of the knapsack problem is complete for the secon...
Robustness in Operations Research/Decision Aid is often associated with min-max and min-max regret c...
We consider the knapsack problem in which the objective function is uncertain, and given by a finite...
We consider the knapsack problem in which the objective function is uncertain, and given by a finite...
This paper introduces a new optimization problem, namely the Polynomial Robust Knapsack Problem. It ...
International audienceRobustness in Operations Research/Decision Aid is often associated with min-ma...
International audienceRobustness in Operations Research/Decision Aid is often associated with min-ma...
International audienceThe knapsack problem is a classical combinatorial optimization problem used to...
The knapsack problem is a classical combinatorial problem used to model many industrial situations. ...
We show that a natural robust optimization variant of the knapsack problem is complete for the secon...
We show that a natural robust optimization variant of the knapsack problem is complete for the secon...
We show that a natural robust optimization variant of the knapsack problem is complete for the secon...
We show that a natural robust optimization variant of the knapsack problem is complete for the secon...
We show that a natural robust optimization variant of the knapsack problem is complete for the secon...
We show that a natural robust optimization variant of the knapsack problem is complete for the secon...
We show that a natural robust optimization variant of the knapsack problem is complete for the secon...
Robustness in Operations Research/Decision Aid is often associated with min-max and min-max regret c...
We consider the knapsack problem in which the objective function is uncertain, and given by a finite...
We consider the knapsack problem in which the objective function is uncertain, and given by a finite...
This paper introduces a new optimization problem, namely the Polynomial Robust Knapsack Problem. It ...
International audienceRobustness in Operations Research/Decision Aid is often associated with min-ma...
International audienceRobustness in Operations Research/Decision Aid is often associated with min-ma...