Add to ORKGInteger programs are harder to solve than linear programs of similar size. Even those of modest size may prove sufficiently difficult to deter practitioners from using them. But, formulated with care and solved with an appropriate branching strategy, they may be solved quickly. This paper discusses the elements of good formulation, high level branching constructs and effective branching strategies. These methods are applied to four practical case studies which are explored in depth
Abstract. Creating good integer programming formulations had, as a basic axiom, the rule “Find formu...
This paper introduces interdiction branching, a new branching method for binary integer programs tha...
Column generation has become a powerful tool in solving large scale integer programs. It is well kno...
Branching in mixed-integer (or integer) linear programming requires choosing both the branching vari...
This paper attempts to present the major methods, successful or interesting uses, and computational ...
The thesis argues the case for exploiting certain structures in integer linear programs.\ud \ud Inte...
In this survey we examine ways to reformulate integer and mixed integer programs. Typically, but not...
Mixed integer programs are commonly solved with linear programming based branch-and-bound algorithms...
The branch and bound principle has been established as an effective computational tool for solving l...
A cutting plane technique with applicability to the solution of general integer programs is presente...
The branch and bound principle has long been established as an effective computational tool for solv...
Integer programming is a powerful modeling tool for a variety of decision making problems such as i...
When integer programming (IP) models are used in operational situations there is a need to consider ...
Within the context of solving Mixed-Integer Linear Programs by a Branch-and- Cut algorithm, we propo...
Dantzig-Wolfe decomposition as applied to an integer program is a specific form of problem reformula...
Abstract. Creating good integer programming formulations had, as a basic axiom, the rule “Find formu...
This paper introduces interdiction branching, a new branching method for binary integer programs tha...
Column generation has become a powerful tool in solving large scale integer programs. It is well kno...
Branching in mixed-integer (or integer) linear programming requires choosing both the branching vari...
This paper attempts to present the major methods, successful or interesting uses, and computational ...
The thesis argues the case for exploiting certain structures in integer linear programs.\ud \ud Inte...
In this survey we examine ways to reformulate integer and mixed integer programs. Typically, but not...
Mixed integer programs are commonly solved with linear programming based branch-and-bound algorithms...
The branch and bound principle has been established as an effective computational tool for solving l...
A cutting plane technique with applicability to the solution of general integer programs is presente...
The branch and bound principle has long been established as an effective computational tool for solv...
Integer programming is a powerful modeling tool for a variety of decision making problems such as i...
When integer programming (IP) models are used in operational situations there is a need to consider ...
Within the context of solving Mixed-Integer Linear Programs by a Branch-and- Cut algorithm, we propo...
Dantzig-Wolfe decomposition as applied to an integer program is a specific form of problem reformula...
Abstract. Creating good integer programming formulations had, as a basic axiom, the rule “Find formu...
This paper introduces interdiction branching, a new branching method for binary integer programs tha...
Column generation has become a powerful tool in solving large scale integer programs. It is well kno...