A Primal-Dual Decomposition-Based Interior Point Approach to Two-Stage Stochastic Linear Programming [PDF]
Operations Research, 2002 Decision making under uncertainty is a challenge faced by many decision makers. Stochastic programming is a major tool developed to deal with optimization with uncertainties which has found applications in, e.g., finance, such as asset–liability and bond–portfolio management.
Berkelaar, A.B. +3 more
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A two-stage stochastic programming approach for influence maximization in social networks [PDF]
Computational Optimization and Applications, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hao-Hsiang Wu, Simge Küçükyavuz
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Computation, 2023 This paper presents a comprehensive approach for minimizing makespan in the challenging two-stage hybrid flowshop with dedicated machines, a problem known to be strongly NP-hard.
Mohamed Karim Hajji +2 more
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Bayesian Filtering Multi-Baseline Phase Unwrapping Method Based on a Two-Stage Programming Approach
Applied Sciences, 2020 Phase unwrapping (PU) has been a key step in the processing of interferometric synthetic aperture radar (InSAR) data, and its processing accuracy will directly affect the reconstruction results of digital elevation models (DEMs).
YanDong Gao +6 more
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A Two-stage Stochastic Programming Approach for Aircraft Landing Problem [PDF]
2018 15th International Conference on Service Systems and Service Management (ICSSSM), 2018 This paper considers a two-stage stochastic programming problem for airport runway scheduling under the uncertainty of arrival time on a single runway. The goal of airport runway scheduling is to schedule a set of aircrafts in a given time horizon and minimize a corresponding objective while satisfying separation requirements as well as other practical
Liu, Ming +4 more
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A distributionally robust optimization approach for two-stage facility location problems
EURO Journal on Computational Optimization, 2020 In this paper, we consider a facility location problem where customer demand constitutes considerable uncertainty, and where complete information on the distribution of the uncertainty is unavailable.
Arash Gourtani +2 more
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A stochastic programming approach to perform hospital capacity assessments.
PLoS ONE, 2023 This article introduces a bespoke risk averse stochastic programming approach for performing a strategic level assessment of hospital capacity (QAHC). We include stochastic treatment durations and length of stay in the analysis for the first time. To the
Robert L Burdett +4 more
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Maintenance Strategies for Industrial Multi-Stage Machines: The Study of a Thermoforming Machine
Sensors, 2021 The study of reliability, availability and control of industrial manufacturing machines is a constant challenge in the industrial environment. This paper compares the results offered by several maintenance strategies for multi-stage industrial ...
Francisco Javier Álvarez García +1 more
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Research on Railway Emergency Resources Scheduling Model under Multiple Uncertainties
Applied Sciences, 2023 This paper discusses the optimization of emergency resource scheduling for major railway emergencies under multiple uncertainties while considering the uncertainties in demand, reserve, and transportation costs of resources. We introduce a novel approach
Zhaoping Tang +3 more
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Energy-Efficient Production Planning Using a Two-Stage Fuzzy Approach
Mathematics, 2021 Analyzing energy consumption is an important task for a factory. In order to accomplish this task, most studies fit the relationship between energy consumption and product design features, process characteristics, or equipment types.
Hsin-Chieh Wu +3 more
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