Add to ORKGIn this paper we present a new method for solving the linear programming relaxation of the Cutting Stock Problem. The method is based on the relationship between column generation and Lagrange relaxation. We have called our method the Hybrid Simplex Method/Subgradient Optimization Procedure. We test our procedure on generated data sets and compare it with the classical column generation approach.status: publishe
The Cutting Stock Problem (CSP) is a combinatorial optimisation problem that involves cutting large ...
The cutting stock problem (CSP) is a combinatorial optimisation problem that involves cutting large ...
We address the linear relaxation of the "one dimensional cutting stock problem", which is among the ...
In this paper we present a new method for solving the linear programming relaxation of the Cutting S...
This paper discusses some of the basic formulation issues and solution procedures for solving one- a...
This thesis gives a comprehensive view of the scope of formulations andrelated solution approaches f...
n cutting stock problems, after an optimal (minimal stockusage) cutting plan has been devised, one m...
In this article we solve a nonlinear cutting stock problem which represents a cutting stock problem ...
In this paper, we deal with a column generation based algorithm for the classical cutting stock prob...
In cutting stock problems, after an optimal (minimal stock usage) cutting plan has been devised, one...
We discuss two formulations of the pattern minimization problem: (1) introduced by Vanderbeck, and (...
AbstractIts linear relaxation is often solved instead of the one-dimensional cutting stock problem (...
The cutting stock problem is that of finding a cutting of stock material to meet demands for small p...
'Textbook' treatments of the cutting-stock problem effectively solve the problem as if one is allowe...
Many numerical computations reported in the literature show an only small difference between the opt...
The Cutting Stock Problem (CSP) is a combinatorial optimisation problem that involves cutting large ...
The cutting stock problem (CSP) is a combinatorial optimisation problem that involves cutting large ...
We address the linear relaxation of the "one dimensional cutting stock problem", which is among the ...
In this paper we present a new method for solving the linear programming relaxation of the Cutting S...
This paper discusses some of the basic formulation issues and solution procedures for solving one- a...
This thesis gives a comprehensive view of the scope of formulations andrelated solution approaches f...
n cutting stock problems, after an optimal (minimal stockusage) cutting plan has been devised, one m...
In this article we solve a nonlinear cutting stock problem which represents a cutting stock problem ...
In this paper, we deal with a column generation based algorithm for the classical cutting stock prob...
In cutting stock problems, after an optimal (minimal stock usage) cutting plan has been devised, one...
We discuss two formulations of the pattern minimization problem: (1) introduced by Vanderbeck, and (...
AbstractIts linear relaxation is often solved instead of the one-dimensional cutting stock problem (...
The cutting stock problem is that of finding a cutting of stock material to meet demands for small p...
'Textbook' treatments of the cutting-stock problem effectively solve the problem as if one is allowe...
Many numerical computations reported in the literature show an only small difference between the opt...
The Cutting Stock Problem (CSP) is a combinatorial optimisation problem that involves cutting large ...
The cutting stock problem (CSP) is a combinatorial optimisation problem that involves cutting large ...
We address the linear relaxation of the "one dimensional cutting stock problem", which is among the ...