Mathematical Programming (Series B), 108, pp. 395-418.Stochastic mixed-integer program – Column generation – Branch and priceWe begin this paper by identifying a class of stochastic mixed-integer programs that have column-oriented formulations suitable for solution by a branch-and-price algorithm (B&P). We then survey a number of examples, and use a stochastic facility-location problem (SFLP) for a detailed demonstration of the relevant modeling and solution techniques. Computational results with a scenario representation of uncertain costs, demands, and capacities show that B&P can be orders of magnitude faster than solving the standard formulation by branch and bound. We also demonstrate how B&P can solving SFLP exactly - as exactly as...
We provide an efficient computational approach to solve the mixed integer programming (MIP) model de...
Some of the most important and challenging problems in computer science and operations research are ...
International audienceWe consider an uncapacitated multi-item multi-echelon lot-sizing problem withi...
In this paper we present a branch-and-price method to solve special structured multi-stage stochasti...
In this paper, we present a branch-and-price method to solve special structured multistage stochasti...
Many practical problems from industry that contain uncertain demands, costs and other quantities are...
THE “BEST ” ALGORITHM FOR SOLVING STOCHASTIC MIXED INTEGER PROGRAMS We present a new algorithm for s...
We formulate mixed integer programming (MIP) models to obtain approximate solutions to finite horizo...
We discuss formulations of integer programs with a huge number of variables and their solution by co...
Understanding how uncertainty effects the dynamics and behavior of an organization is a critical asp...
Obtaining upper and lower bounds on the optimal value of a stochastic integer program can require so...
Abstract---Many real-world planning problems require search-ing for an optimal solution in the face ...
This paper addresses the class of nonlinear mixed integer stochastic programming problems. In partic...
International audienceWe study the uncapacitated lot-sizing problem with uncertain demand and costs....
We provide an efficient computational approach to solve the mixed integer programming (MIP) model de...
Some of the most important and challenging problems in computer science and operations research are ...
International audienceWe consider an uncapacitated multi-item multi-echelon lot-sizing problem withi...
In this paper we present a branch-and-price method to solve special structured multi-stage stochasti...
In this paper, we present a branch-and-price method to solve special structured multistage stochasti...
Many practical problems from industry that contain uncertain demands, costs and other quantities are...
THE “BEST ” ALGORITHM FOR SOLVING STOCHASTIC MIXED INTEGER PROGRAMS We present a new algorithm for s...
We formulate mixed integer programming (MIP) models to obtain approximate solutions to finite horizo...
We discuss formulations of integer programs with a huge number of variables and their solution by co...
Understanding how uncertainty effects the dynamics and behavior of an organization is a critical asp...
Obtaining upper and lower bounds on the optimal value of a stochastic integer program can require so...
Abstract---Many real-world planning problems require search-ing for an optimal solution in the face ...
This paper addresses the class of nonlinear mixed integer stochastic programming problems. In partic...
International audienceWe study the uncapacitated lot-sizing problem with uncertain demand and costs....
We provide an efficient computational approach to solve the mixed integer programming (MIP) model de...
Some of the most important and challenging problems in computer science and operations research are ...
International audienceWe consider an uncapacitated multi-item multi-echelon lot-sizing problem withi...