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Robust Waste Transfer Station Planning by Stochastic Programming
Chemical Engineering Transactions, 2018 Regarding the infrastructure planning in waste management, the future situation in the Czech Republic or in some other waste developing countries is unknown due to the undecided support from the government or the EU.
Jakub Kůdela +3 more
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A Robust Optimization Perspective on Stochastic Programming [PDF]
Operations Research, 2007 In this paper, we introduce an approach for constructing uncertainty sets for robust optimization using new deviation measures for random variables termed the forward and backward deviations. These deviation measures capture distributional asymmetry and lead to better approximations of chance constraints.
Xin Chen, Melvyn Sim
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Advances in stochastic programming and robust optimization for supply chain planning [PDF]
Computers and Operations Research, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kannan Govindan, T C E Cheng
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Tutorial on risk neutral, distributionally robust and risk averse multistage stochastic programming
European Journal of Operational Research, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alexander Shapiro
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Stochastic Robust Mathematical Programming Model for Power System Optimization
IEEE Transactions on Power Systems, 2016 This letter presents a stochastic robust framework for two-stage power system optimization problems with uncertainty. The model optimizes the probabilistic expectation of different worst-case scenarios with different uncertainty sets. A case study of unit commitment shows the effectiveness of the proposed model and algorithms.
Haoyong Chen, Sanjay Mehrotra
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Natural gas supply chain under uncertainty condition [PDF]
New Applied Studies in Management, Economics & Accounting, 2023 In today’s competitive world, uncertainty is an integral part of all optimization problems. One of the cases where uncertainty has the greatest impact on optimization issues is SCN design.
Reza Mohammadi
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Robust flight schedules with stochastic programming [PDF]
Annals of Operations Research, 2021 Limiting flight delays during operations has become a critical research topic in recent years due to their prohibitive impact on airlines, airports, and passengers. A popular strategy for addressing this problem considers the uncertainty of day-of-operations delays and adjusts flight schedules to accommodate them in the planning stage. In this work, we
Sujeevraja Sanjeevi +1 more
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A Weighted Robust Two-Stage Stochastic Optimization Model for Supplier Selection and Order Allocation under Uncertainty [PDF]
چشمانداز مدیریت صنعتی, 2020 This paper presents an integrated model as a combination of fuzzy analytical hierarchy process (FAHP), scenario-based two-stage stochastic programming and robust optimization approaches for the problem of supplier selection and order allocation under ...
Mostafa Jokar +2 more
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Robust Dynamic Programming for Temporal Logic Control of Stochastic Systems [PDF]
IEEE Transactions on Automatic Control, 2021 Discrete-time stochastic systems are an essential modelling tool for many engineering systems. We consider stochastic control systems that are evolving over continuous spaces. For this class of models, methods for the formal verification and synthesis of control strategies are computationally hard and generally rely on the use of approximate ...
Sofie Haesaert, Sadegh Soudjani
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Probabilistic Optimization Techniques in Smart Power System
Energies, 2022 Uncertainties are the most significant challenges in the smart power system, necessitating the use of precise techniques to deal with them properly. Such problems could be effectively solved using a probabilistic optimization strategy.
Muhammad Riaz +4 more
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