Abstract. Creating good integer programming formulations had, as a basic axiom, the rule “Find formulations with tighter linear relaxations”. This rule, while useful when using unsophisticated branch-and-bound codes,is insufficient when using state-of-the-art codes that understand and embed many of the obvious formulation improvements. As these optimization codes become more sophisticated it is important to have finer control over their operation. Modelers need to be even more cre-ative in reformulating their integer programs in order to improve on the automatic reformulations of the optimization codes.
abstract (preface): mathematical programming deals with the optimization of a given function under c...
AbstractStructural approximation theory seeks to provide a framework for expressing optimization pro...
This thesis concerns the use of reformulation techniques in mathematical programming. Optimization a...
Creating good integer programming formulations had, as a basic axiom, the rule “Find formulations wi...
We examine ways to reformulate integer and mixed integer programs. Typically, but not exclusively, o...
The splitting of variables in an integer programming model into the sum of other variables can allow...
Algebraic modeling languages have become a standard tool in the development of linear and nonlinear ...
The thesis argues the case for exploiting certain structures in integer linear programs.\ud \ud Inte...
This book is an elegant and rigorous presentation of integer programming, exposing the subject’s mat...
Integer programming (discrete optimization) is best used for solving problems involving discrete, wh...
A reformulation of a mathematical program is a formulation which shares some properties with, but is...
“Convincing yourself is easy, persuading a colleague is harder, but proving it to a computer is hard...
Aims which a formulator has when building a Linear or Integer Programming model are suggested. Ways ...
w9259490 For mathematical programming (MP) to have greater impact upon the decision making proc...
Integer programs are harder to solve than linear programs of similar size. Even those of modest size...
abstract (preface): mathematical programming deals with the optimization of a given function under c...
AbstractStructural approximation theory seeks to provide a framework for expressing optimization pro...
This thesis concerns the use of reformulation techniques in mathematical programming. Optimization a...
Creating good integer programming formulations had, as a basic axiom, the rule “Find formulations wi...
We examine ways to reformulate integer and mixed integer programs. Typically, but not exclusively, o...
The splitting of variables in an integer programming model into the sum of other variables can allow...
Algebraic modeling languages have become a standard tool in the development of linear and nonlinear ...
The thesis argues the case for exploiting certain structures in integer linear programs.\ud \ud Inte...
This book is an elegant and rigorous presentation of integer programming, exposing the subject’s mat...
Integer programming (discrete optimization) is best used for solving problems involving discrete, wh...
A reformulation of a mathematical program is a formulation which shares some properties with, but is...
“Convincing yourself is easy, persuading a colleague is harder, but proving it to a computer is hard...
Aims which a formulator has when building a Linear or Integer Programming model are suggested. Ways ...
w9259490 For mathematical programming (MP) to have greater impact upon the decision making proc...
Integer programs are harder to solve than linear programs of similar size. Even those of modest size...
abstract (preface): mathematical programming deals with the optimization of a given function under c...
AbstractStructural approximation theory seeks to provide a framework for expressing optimization pro...
This thesis concerns the use of reformulation techniques in mathematical programming. Optimization a...