Results 251 to 260 of about 21,299,052 (294)

A two-stage inexact-stochastic programming model for planning carbon dioxide emission trading under uncertainty [PDF]

open access: yesApplied Energy, 2010
In this study, a two-stage inexact-stochastic programming (TISP) method is developed for planning carbon dioxide (CO2) emission trading under uncertainty.
Huang, G. H.   +5 more
exaly   +1 more source

Sequential Bounding Methods for Two-Stage Stochastic Programs

INFORMS Journal on Computing, 2016
In rare situations, stochastic programs can be solved analytically. Otherwise, approximation is necessary to solve stochastic programs with a large or infinite number of scenarios to a desired level of accuracy. This involves statistical sampling or deterministic selection of a finite set of scenarios to obtain a tractable deterministic equivalent ...
Alexander H. Gose, Brian T. Denton
openaire   +2 more sources

Programmed Control of Two-Stage Stochastic Production Systems

Automation and Remote Control, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Stochastic Decomposition for Two-Stage Stochastic Linear Programs with Random Cost Coefficients

INFORMS Journal on Computing, 2021
Stochastic decomposition (SD) has been a computationally effective approach to solve large-scale stochastic programming (SP) problems arising in practical applications. By using incremental sampling, this approach is designed to discover an appropriate sample size for a given SP instance, thus precluding the need for either scenario reduction or ...
Harsha Gangammanavar   +2 more
openaire   +1 more source

An ADMM algorithm for two-stage stochastic programming problems

Annals of Operations Research, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sebastián Arpón   +2 more
openaire   +2 more sources

Two Stage Stochastic Linear Programs

1996
Over the past several decades, linear programming (LP) has established itself as one of the most fundamental tools for planning. Its applications have become routine in several disciplines including those within engineering, business, economics, environmental studies and many others.
Julia L. Higle, Suvrajeet Sen
openaire   +1 more source

Deviation Measures in Linear Two-Stage Stochastic Programming

Mathematical Methods of Operations Research, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Improving aggregation bounds for two-stage stochastic programs

Operations Research Letters, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Charles H. Rosa, Samer Takriti
openaire   +1 more source

Limited recourse in two-stage stochastic linear programs

Journal of Information and Optimization Sciences, 2003
In several real-world applications, modelled by two-stage stochastic problems, first and second-stage decisions (or some of their components) represent identical variables of the problem that is modelled. In these cases an appropriate solution of the problem might require that the second-stage decisions do not differ substantially from the ...
P. BERALDI   +3 more
openaire   +2 more sources

Risk-Averse Two-Stage Stochastic Program with Distributional Ambiguity

Operations Research, 2018
In this paper, we develop a risk-averse two-stage stochastic program (RTSP) that explicitly incorporates the distributional ambiguity covering both discrete and continuous distributions. We formulate RTSP from the perspective of distributional robustness by hedging against the worst-case distribution within an ambiguity set and considering the ...
Ruiwei Jiang, Yongpei Guan
openaire   +3 more sources

Home - About - Disclaimer - Privacy