Although the possibility to combine column generation and Lagrangian relaxation has been known for quite some time, it has only recently been exploited in algorithms. In this paper, we discuss ways of combining these techniques. We focus on solving the LP relaxation of the Dantzig-Wolfe master problem. In a first approach we apply Lagrangian relaxation directly to this extended formulation, i.e. no simplex method is used. In a second one, we use Lagrangian relaxation to generate new columns, that is Lagrangian relaxation is applied to the compact for-mulation. We will illustrate the ideas behind these algorithms with an application in Lot-sizing. To show the wide applicability of these techniques, we also discuss applications in integrated ...
We describe a new approach to produce integer feasible columns to a set partitioning problem directl...
The capacitated multi-item lot sizing problem consists of finding a production schedule that minimiz...
Optimization of operations in transportation logistics may often be mathematically modelled as 0-1 i...
textabstractAlthough the possibility to combine column generation and Lagrangian relaxation has been...
Column generation has proved to be an effective technique for solving the linear programming relaxat...
Industrial production processes involving both lot-sizing and cutting stock problems are common in m...
International audienceWe propose in this paper a new Dantzig-Wolfe master model based on Lagrangian ...
Operations in areas of importance to society are frequently modeled as Mixed-Integer Linear Programm...
AbstractColumn generation algorithms are instrumental in many areas of applied optimization, where l...
In this paper we present a new method for solving the linear programming relaxation of the Cutting S...
Lagrangian relaxation has recently emerged as an important method for solving complex scheduling pro...
We study the multi-item capacitated lot sizing problem with setup times. Based on two strong reformu...
Large scale Mixed Integer Programming (MIP) optimization models are intricate to solve. When the mod...
Lagrangian relaxation is commonly used in combinatorial optimization to generate lower bounds for a ...
In this thesis we study how to efficiently combine the column generation technique (CG) and interio...
We describe a new approach to produce integer feasible columns to a set partitioning problem directl...
The capacitated multi-item lot sizing problem consists of finding a production schedule that minimiz...
Optimization of operations in transportation logistics may often be mathematically modelled as 0-1 i...
textabstractAlthough the possibility to combine column generation and Lagrangian relaxation has been...
Column generation has proved to be an effective technique for solving the linear programming relaxat...
Industrial production processes involving both lot-sizing and cutting stock problems are common in m...
International audienceWe propose in this paper a new Dantzig-Wolfe master model based on Lagrangian ...
Operations in areas of importance to society are frequently modeled as Mixed-Integer Linear Programm...
AbstractColumn generation algorithms are instrumental in many areas of applied optimization, where l...
In this paper we present a new method for solving the linear programming relaxation of the Cutting S...
Lagrangian relaxation has recently emerged as an important method for solving complex scheduling pro...
We study the multi-item capacitated lot sizing problem with setup times. Based on two strong reformu...
Large scale Mixed Integer Programming (MIP) optimization models are intricate to solve. When the mod...
Lagrangian relaxation is commonly used in combinatorial optimization to generate lower bounds for a ...
In this thesis we study how to efficiently combine the column generation technique (CG) and interio...
We describe a new approach to produce integer feasible columns to a set partitioning problem directl...
The capacitated multi-item lot sizing problem consists of finding a production schedule that minimiz...
Optimization of operations in transportation logistics may often be mathematically modelled as 0-1 i...