Abstract This paper studies the robust knapsack problem, for which solutions are, up to a certain point, immune from data uncertainty. We complement the works found in the litera-ture, where uncertainty affects only the profits or only the weights of the items, by studying the complexity and approximation of the general setting with uncertainty regarding both the profits and the weights, for three different objective functions. Furthermore, we develop a scenario-relaxation algorithm for solving the general problem and present computational results. Keywords knapsack problem · robustness · scenario-relaxation algorithm · NP-hardness · approximatio
This paper introduces a new optimization problem, namely the Polynomial Robust Knapsack Problem. It ...
International audienceIn the binary single constraint Knapsack Problem, denoted KP, we are given a k...
24th Mini-EURO Conference on Continuous Optimization and Information-Based Technologies in the Finan...
Abstract: This paper studies the robust knapsack problem, for which solutions are, up to a certain p...
We consider an uncertain variant of the knapsack problem in which the weight of the items is not exa...
We consider an uncertain variant of the knapsack problem in which the weight of the items is not exa...
We consider the knapsack problem in which the objective function is uncertain, and given by a finite...
AbstractWe consider an uncertain variant of the knapsack problem in which the weight of the items is...
We consider an uncertain variant of the knapsack problem that arises when the exact weight of each i...
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 consider robust knapsack problems where item weights are uncertain. We are allowed to query an it...
The goal of classical KP, is to find a subset of items whose total weight does not exceed the knapsa...
International audienceThis paper considers a distributionally robust version of a quadratic knapsack...
Abstract In this paper, we consider the multi-band robust knapsack problem which generalizes the Γ-r...
This paper introduces a new optimization problem, namely the Polynomial Robust Knapsack Problem. It ...
International audienceIn the binary single constraint Knapsack Problem, denoted KP, we are given a k...
24th Mini-EURO Conference on Continuous Optimization and Information-Based Technologies in the Finan...
Abstract: This paper studies the robust knapsack problem, for which solutions are, up to a certain p...
We consider an uncertain variant of the knapsack problem in which the weight of the items is not exa...
We consider an uncertain variant of the knapsack problem in which the weight of the items is not exa...
We consider the knapsack problem in which the objective function is uncertain, and given by a finite...
AbstractWe consider an uncertain variant of the knapsack problem in which the weight of the items is...
We consider an uncertain variant of the knapsack problem that arises when the exact weight of each i...
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 consider robust knapsack problems where item weights are uncertain. We are allowed to query an it...
The goal of classical KP, is to find a subset of items whose total weight does not exceed the knapsa...
International audienceThis paper considers a distributionally robust version of a quadratic knapsack...
Abstract In this paper, we consider the multi-band robust knapsack problem which generalizes the Γ-r...
This paper introduces a new optimization problem, namely the Polynomial Robust Knapsack Problem. It ...
International audienceIn the binary single constraint Knapsack Problem, denoted KP, we are given a k...
24th Mini-EURO Conference on Continuous Optimization and Information-Based Technologies in the Finan...