summary:The problem indicated in the title is solved by means of a Bendersian dual decomposition method. The algorithm proposed is procedurally conformal with the well-known Benders algorithm. The problem is solved approximately in the sense of $\epsilon$-suboptimality for special cases of the general parametric problem. The Benders method (also for point optimization) is generalized for an unbounded set of integer variables and equality constraint conditions. The method is illustrated by a numerical example
The paper presents the Generalized Benders Decomposition (GBD) method, which is now one of the basic...
In a period when optimization has entered almost every facet of our lives, this thesis is designed t...
The Bachelor thesis is dealing with Benders decomposition in optimization, especially in stochastic ...
summary:The problem indicated in the title is solved by means of a Bendersian dual decomposition met...
This final thesis work is dealing with the problems of mixed integer linear programming and their po...
International audienceIn Benders decomposition approach to mixed integer programs , the optimization...
Benders decomposition entails a two-stage optimization approach to a mixed integer program: first-s...
We consider problems of the form min{cx + hy: Ax + By ≥ b, x \in Z^n_+, y \in Y \subseteq R^p_+} tha...
AbstractThe master problem in Benders's partitioning method is an integer program with a very large ...
[[abstract]]In this paper, we define a stepsize to parametrize the right-hand side of an integer pro...
A method is developed for carrying out parametric analysis on a mixed integer linear program (MILP) ...
[[abstract]]In this paper, we present algorithms for solving families of nonlinear integer programmi...
Parametric linear programming is the study of how optimal properties depend on data parametrizations...
In this work we analyze the problem of optimizing a linear function with mixed-integer variables ove...
An algorithm is presented for solving families of integer linear programming problems in which the p...
The paper presents the Generalized Benders Decomposition (GBD) method, which is now one of the basic...
In a period when optimization has entered almost every facet of our lives, this thesis is designed t...
The Bachelor thesis is dealing with Benders decomposition in optimization, especially in stochastic ...
summary:The problem indicated in the title is solved by means of a Bendersian dual decomposition met...
This final thesis work is dealing with the problems of mixed integer linear programming and their po...
International audienceIn Benders decomposition approach to mixed integer programs , the optimization...
Benders decomposition entails a two-stage optimization approach to a mixed integer program: first-s...
We consider problems of the form min{cx + hy: Ax + By ≥ b, x \in Z^n_+, y \in Y \subseteq R^p_+} tha...
AbstractThe master problem in Benders's partitioning method is an integer program with a very large ...
[[abstract]]In this paper, we define a stepsize to parametrize the right-hand side of an integer pro...
A method is developed for carrying out parametric analysis on a mixed integer linear program (MILP) ...
[[abstract]]In this paper, we present algorithms for solving families of nonlinear integer programmi...
Parametric linear programming is the study of how optimal properties depend on data parametrizations...
In this work we analyze the problem of optimizing a linear function with mixed-integer variables ove...
An algorithm is presented for solving families of integer linear programming problems in which the p...
The paper presents the Generalized Benders Decomposition (GBD) method, which is now one of the basic...
In a period when optimization has entered almost every facet of our lives, this thesis is designed t...
The Bachelor thesis is dealing with Benders decomposition in optimization, especially in stochastic ...