Results 1 to 10 of about 295,852 (287)
Multistage stochastic programming modeling for farmland irrigation management under uncertainty. [PDF]
PLoS ONE, 2020 Farmland management and irrigation scheduling are vital to a productive agricultural economy. A multistage stochastic programming model is proposed to maximize farmers' annual profit under uncertainty.
Qi Li, Guiping Hu
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Applications of Stochastic Mixed-Integer Second-Order Cone Optimization
IEEE Access, 2022 Second-order cone programming problems are a tractable subclass of convex optimization problems that can be solved using polynomial algorithms. In the last decade, stochastic second-order cone programming problems have been studied, and efficient ...
Baha Alzalg, Hadjer Alioui
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A Review of Stochastic Programming Methods for Optimization of Process Systems Under Uncertainty
Frontiers in Chemical Engineering, 2021 Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent advances of a risk-neutral mathematical framework ...
Can Li, Ignacio E. Grossmann
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About a regional development model that takes into account environmental problems with budgeting uncertainty [PDF]
E3S Web of Conferences, 2021 Raw-materials base (hereinafter RMB) is one of the largest industries for financial investments in Russia. There are various mathematical descriptions for the development of regions with resource-based economy.
Novikov Artem
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Output‐feedback stochastic model predictive control of chance‐constrained nonlinear systems
IET Control Theory & Applications, 2023 This study covers the output‐feedback model predictive control (MPC) of nonlinear systems subjected to stochastic disturbances and state chance constraints. The stochastic optimal control problem is solved in a stochastic dynamic programming fashion, and
Jingyu Zhang, Toshiyuki Ohtsuka
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Stochastic Integer Programming by Dynamic Programming [PDF]
Statistica Neerlandica, 1985 AbstractStochastic integer programming is a suitable tool for modeling hierarchical decision situations with combinatorial features. In continuation of our work on the design and analysis of heuristics for such problems, we now try to find optimal solutions.
B.J. Lageweg +4 more
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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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Energies, 2020 The purpose of this paper is to apply multistage stochastic programming to the transmission line expansion planning problem, especially when uncertain demand scenarios exist. Since the problem of transmission line expansion planning requires an intensive
Sini Han, Hyeon-Jin Kim, Duehee Lee
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Frontiers in Energy Research, 2021 New energy power systems with high-permeability photovoltaic and wind power are high-dimensional dynamic large-scale systems with nonlinear, uncertain and complex operating characteristics.
Xueqian Fu, Xianping Wu, Nian Liu
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Fuzzy stochastic inventory model for deteriorating item [PDF]
Yugoslav Journal of Operations Research, 2017 A multi item profit maximization inventory model is developed in fuzzy stochastic environment. Demand is taken as Stock dependent demand. Available storage space is assumed to be imprecise and vague in nature. Impreciseness has been expressed by
Waliv Rahul H., Umap Hemant P.
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