Column generation is a linear programming method that, when combined with appropriate integer programming techniques, has been successfully used for solving huge integer programs. The method alternates between a restricted master problem and a column generation subproblem. The latter step is founded on dual information from the former one; often an optimal dual solution to the linear programming relaxation of the restricted master problem is used. We consider a zero–one linear programming problem that is approached by column generation and present a generic sufficient optimality condition for the restricted master problem to contain the columns required to find an integer optimal solution to the complete problem. The condition is based on d...
Generalized linear programming problems have been well solved by column generation and dual ascent p...
A popular approach in combinatorial optimization is to model problems as integer linear programs. Id...
We discuss formulations of integer programs with a huge number of variables and their solution by co...
Column generation is a linear programming method that, when combined with appropriate integer progra...
We describe a new approach to produce integer feasible columns to a set partitioning problem directl...
Column generation is a linear programming method in which a dual solution of the master problem is e...
In column generation schemes, particularly those proposed for set partitioning type problems, dynami...
We present an exact method for integer linear programming problems that combines branch and bound wi...
This paper presents in a unied form a column generation scheme for in-teger programming. The scheme ...
informs ® doi 10.1287/opre.1050.0234 © 2005 INFORMS Dantzig-Wolfe decomposition and column generatio...
Column generation is a well-known and widely practiced technique for solving linear programs with to...
Column generation is a well-known and widely practiced technique for solving linear programs with to...
'Textbook' treatments of the cutting-stock problem effectively solve the problem as if one is allowe...
Abstract We give a didactic introduction to the use of the column generation technique in linear and...
The purpose of this report is to present a new class of sufficient optimality conditions for pure an...
Generalized linear programming problems have been well solved by column generation and dual ascent p...
A popular approach in combinatorial optimization is to model problems as integer linear programs. Id...
We discuss formulations of integer programs with a huge number of variables and their solution by co...
Column generation is a linear programming method that, when combined with appropriate integer progra...
We describe a new approach to produce integer feasible columns to a set partitioning problem directl...
Column generation is a linear programming method in which a dual solution of the master problem is e...
In column generation schemes, particularly those proposed for set partitioning type problems, dynami...
We present an exact method for integer linear programming problems that combines branch and bound wi...
This paper presents in a unied form a column generation scheme for in-teger programming. The scheme ...
informs ® doi 10.1287/opre.1050.0234 © 2005 INFORMS Dantzig-Wolfe decomposition and column generatio...
Column generation is a well-known and widely practiced technique for solving linear programs with to...
Column generation is a well-known and widely practiced technique for solving linear programs with to...
'Textbook' treatments of the cutting-stock problem effectively solve the problem as if one is allowe...
Abstract We give a didactic introduction to the use of the column generation technique in linear and...
The purpose of this report is to present a new class of sufficient optimality conditions for pure an...
Generalized linear programming problems have been well solved by column generation and dual ascent p...
A popular approach in combinatorial optimization is to model problems as integer linear programs. Id...
We discuss formulations of integer programs with a huge number of variables and their solution by co...