Within the context of solving Mixed-Integer Linear Programs by a Branch-and- Cut algorithm, we propose a new strategy for branching. Computational experiments show that, on the majority of our test instances, this approach enumerates fewer nodes than traditional branching. On average, the number of nodes in the enumeration tree is reduced by a factor two, while computing time is comparable. On a few instances, the improvements are of several orders of magnitude in both number of nodes and computing tim
We present in this paper a new approach that uses supervised machine learning techniques to improve ...
This article provides a method of constructing branches for solving an integer problem of linear pro...
Abstract. Mixed Integer Nonlinear Programming (MINLP) problems present two main challenges: the inte...
This paper considers a modification of the branch-and-cut algorithm for Mixed Integer Linear Program...
We address methods for selecting the branching variable in an enumerative algorithm for Mixed-Intege...
Mixed integer programs are commonly solved with linear programming based branch-and-bound algorithms...
Branching in mixed-integer (or integer) linear programming requires choosing both the branching vari...
This paper introduces interdiction branching, a new branching method for binary integer programs tha...
Abstract. Branch-and-bound methods for mixed-integer programming (MIP) are traditionally based on so...
In mixed-integer programming, the branching rule is a key component to a fast convergence of the bra...
Abstract. In mixed-integer programming, the branching rule is a key component to a fast convergence ...
Strong branching is an effective branching technique that can significantly reduce the size of th...
Strong branching is an effective branching technique that can significantly reduce the size of the b...
The design of strategies for branching in Mixed Integer Programming (MIP) is guided by cycles of par...
In this paper, a new branch-and-cut algorithm for mixed integer bi-level programming is proposed. Fo...
We present in this paper a new approach that uses supervised machine learning techniques to improve ...
This article provides a method of constructing branches for solving an integer problem of linear pro...
Abstract. Mixed Integer Nonlinear Programming (MINLP) problems present two main challenges: the inte...
This paper considers a modification of the branch-and-cut algorithm for Mixed Integer Linear Program...
We address methods for selecting the branching variable in an enumerative algorithm for Mixed-Intege...
Mixed integer programs are commonly solved with linear programming based branch-and-bound algorithms...
Branching in mixed-integer (or integer) linear programming requires choosing both the branching vari...
This paper introduces interdiction branching, a new branching method for binary integer programs tha...
Abstract. Branch-and-bound methods for mixed-integer programming (MIP) are traditionally based on so...
In mixed-integer programming, the branching rule is a key component to a fast convergence of the bra...
Abstract. In mixed-integer programming, the branching rule is a key component to a fast convergence ...
Strong branching is an effective branching technique that can significantly reduce the size of th...
Strong branching is an effective branching technique that can significantly reduce the size of the b...
The design of strategies for branching in Mixed Integer Programming (MIP) is guided by cycles of par...
In this paper, a new branch-and-cut algorithm for mixed integer bi-level programming is proposed. Fo...
We present in this paper a new approach that uses supervised machine learning techniques to improve ...
This article provides a method of constructing branches for solving an integer problem of linear pro...
Abstract. Mixed Integer Nonlinear Programming (MINLP) problems present two main challenges: the inte...