In this paper we consider a class of problems related to variable knockout. Given an optimisation problem formulated as an integer program the question we face in problems of this type is what might be an appropriate set of variables to delete, i.e. knockout of the problem, in order that the optimal solution to the problem that remains after variable knockout has a desired property. We present an algorithm for the optimal solution of the problem. We indicate how our algorithm can be adapted when the number of variables knocked out is specified (i.e. when we have a cardinality constraint). Computational results are given for the problem of finding the minimal number of arcs to knockout from a directed network such that, after knockout, t...
We consider a bilevel integer programming model that extends the classic 0-1 knapsack problem in a v...
Edited by P. Perny and A. TsoukiasInternational audienceDynamic Programming is a powerful approach t...
There are two main solving schemas for constraint satisfaction and optimization problems: i) search,...
AbstractThe secondary optimization problem in dynamic programming consists of finding the “best” ord...
The paper addresses the problem of computing lower bounds on the optimal costs associated with eac...
Variable elimination is a general technique for constraint processing. It is often dis-carded becaus...
Solution techniques for combinatorial optimization and integer programming problems are core discipl...
In this article, we investigate the Minimum Cardinality Segmentation Problem (MCSP), an NP-hard comb...
In this article, we investigate the Minimum Cardinality Segmentation Problem (MCSP), an NP-hard comb...
This work deals with three different combinatorial optimization problems: minimizing the total size ...
We study competitions structured as hierarchically shaped single-elimination tournaments. We define ...
To reduce the cost of mutation testing, researchers have sought to find minimal mutant sets. As an o...
The typical objective of path planning is to find the shortest feasible path. Many times, however, t...
A general formulation of the problems we are going to consider may be sketched as follows: we are gi...
Variable elimination is a general technique for constraint processing. It is often dis-carded becaus...
We consider a bilevel integer programming model that extends the classic 0-1 knapsack problem in a v...
Edited by P. Perny and A. TsoukiasInternational audienceDynamic Programming is a powerful approach t...
There are two main solving schemas for constraint satisfaction and optimization problems: i) search,...
AbstractThe secondary optimization problem in dynamic programming consists of finding the “best” ord...
The paper addresses the problem of computing lower bounds on the optimal costs associated with eac...
Variable elimination is a general technique for constraint processing. It is often dis-carded becaus...
Solution techniques for combinatorial optimization and integer programming problems are core discipl...
In this article, we investigate the Minimum Cardinality Segmentation Problem (MCSP), an NP-hard comb...
In this article, we investigate the Minimum Cardinality Segmentation Problem (MCSP), an NP-hard comb...
This work deals with three different combinatorial optimization problems: minimizing the total size ...
We study competitions structured as hierarchically shaped single-elimination tournaments. We define ...
To reduce the cost of mutation testing, researchers have sought to find minimal mutant sets. As an o...
The typical objective of path planning is to find the shortest feasible path. Many times, however, t...
A general formulation of the problems we are going to consider may be sketched as follows: we are gi...
Variable elimination is a general technique for constraint processing. It is often dis-carded becaus...
We consider a bilevel integer programming model that extends the classic 0-1 knapsack problem in a v...
Edited by P. Perny and A. TsoukiasInternational audienceDynamic Programming is a powerful approach t...
There are two main solving schemas for constraint satisfaction and optimization problems: i) search,...