AbstractThe purpose of this note is to show that the convexity (or intensection) cut ideas can be exploited to special advantage for integer programs with certain structures. In particular, we show how to obtain now cuts for “multiple choice” and other related “combinatorial” problems. Our approach can usefully be applied to problems involving logical alternatives without having to reformulate (and enlarge) such problems by the addition of 0–1 variables and associated linear constraints
International audiencehis paper addresses the problem of generating strong convex relaxations of Mix...
In integer programming, the elementary closure associated with a family of cuts is the convex set de...
Multiplicative programming problems are global optimisation problems known to be NP-hard. In this pa...
AbstractThe purpose of this note is to show that the convexity (or intensection) cut ideas can be ex...
A new efficient system of representing the decision-maker's preference structure in solving multicri...
This paper presents a general, self-contained treatment of convexity or intersection cuts. It descr...
We study the generalization of split and intersection cuts from Mixed Integer Linear Pro-gramming to...
Abstract. This paper addresses the problem of generating cuts for mixed integer nonlinear programs w...
Cardinality constraints enforce an upper bound on the number of variables that can be nonzero. This ...
Cardinality constraints enforce an upper bound on the number of variables that can be nonzero. This ...
We study the generalization of split, k-branch split, and intersection cuts from mixed integer linea...
This paper considers the two stage stochastic integer programming problems, with an emphasis on prob...
We show that the convex envelope of the objective function of Mixed-Integer Programming problems wit...
The weighted sums approach for linear and convex multiple criteria optimization is well studied. The...
We describe a computationally effective method for generating disjunctive inequalities for convex m...
International audiencehis paper addresses the problem of generating strong convex relaxations of Mix...
In integer programming, the elementary closure associated with a family of cuts is the convex set de...
Multiplicative programming problems are global optimisation problems known to be NP-hard. In this pa...
AbstractThe purpose of this note is to show that the convexity (or intensection) cut ideas can be ex...
A new efficient system of representing the decision-maker's preference structure in solving multicri...
This paper presents a general, self-contained treatment of convexity or intersection cuts. It descr...
We study the generalization of split and intersection cuts from Mixed Integer Linear Pro-gramming to...
Abstract. This paper addresses the problem of generating cuts for mixed integer nonlinear programs w...
Cardinality constraints enforce an upper bound on the number of variables that can be nonzero. This ...
Cardinality constraints enforce an upper bound on the number of variables that can be nonzero. This ...
We study the generalization of split, k-branch split, and intersection cuts from mixed integer linea...
This paper considers the two stage stochastic integer programming problems, with an emphasis on prob...
We show that the convex envelope of the objective function of Mixed-Integer Programming problems wit...
The weighted sums approach for linear and convex multiple criteria optimization is well studied. The...
We describe a computationally effective method for generating disjunctive inequalities for convex m...
International audiencehis paper addresses the problem of generating strong convex relaxations of Mix...
In integer programming, the elementary closure associated with a family of cuts is the convex set de...
Multiplicative programming problems are global optimisation problems known to be NP-hard. In this pa...