Ergebnisse für: Two-Stage Stochastic Programming
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The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently developing rapidly with contributions from many disciplines including operations research, mathematics, and probability. At the same time, it is now being applied in a w...
Stochastic Programming offers models and methods for
decision problems wheresome of the data are uncertain.
These models have features and structural properties which
are preferably exploited by SP methods within the solution
process. This work contributes to the methodology for
two-stage...
Stochastic Programming offers models and methods for
decision problems wheresome of the data are uncertain.
These models have features and structural properties which
are preferably exploited by SP methods within the solution
process. This work contributes to the methodology for
two-stage...
Two-stage stochastic programming models are considered as attractive tools for making optimal decisions under uncertainty. Traditionally, optimality is formalized by applying statistical parameters such as the expectation or the conditional value at risk to the distributions of objective values.
U...
Two-stage stochastic programming models are considered as attractive tools for making optimal decisions under uncertainty. Traditionally, optimality is formalized by applying statistical parameters such as the expectation or the conditional value at risk to the distributions of objective values.
U...
Emilia Graß develops a solution method which can provide fast and near-optimal solutions to realistic large-scale two-stage stochastic problems in disaster management. The author proposes a specialized interior-point method to accelerate the standard L-shaped algorithm. She shows that the newly dev...
Emilia Graß develops a solution method which can provide fast and near-optimal solutions to realistic large-scale two-stage stochastic problems in disaster management. The author proposes a specialized interior-point method to accelerate the standard L-shaped algorithm. She shows that the newly dev...
Since planning and scheduling under uncertainties is a class of optimization problems with significant potential economic benefits, optimization algorithms and methods have been developed and applied to model and to optimize industry processes with various uncertainties involved in the past decades....
The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently developing rapidly with contributions from many disciplines including operations research, mathematics, and probability. At the same time, it is now being applied in a w...
The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently developing rapidly with contributions from many disciplines including operations research, mathematics, and probability. At the same time, it is now being applied in a w...
This volume in the SpringerBriefs in Energy series offers a systematic review of unit commitment (UC) problems in electrical power generation. It updates texts written in the late 1990s and early 2000s by including the fundamentals of both UC and state-of-the-art modeling as well as solution algorit...
This volume in the SpringerBriefs in Energy series offers a systematic review of unit commitment (UC) problems in electrical power generation. It updates texts written in the late 1990s and early 2000s by including the fundamentals of both UC and state-of-the-art modeling as well as solution algorit...
Diese Dissertation umfasst ein Rahmenwerk und ein Werkzeug für die Modellierung und Optimierung von Fließbildsuperstrukturen in frühen Phasen der Prozessentwicklung. Die frühe Phase der Prozesssynthese ist durch einen Mangel an Informationen und einer heterogenen Qualität der vorhandenen Date...
River catchments and reservoirs play a central role in water security, food supply, flood risk management, hydropower generation, and ecosystem services; however, they are now under increasing pressure from population growth, economic activities, and changing climate means and extremes in many parts...