Results 1 to 10 of about 156 (114)
A multi-criteria stochastic programming approach for pre-positioning disaster relief supplies in Brazil [PDF]
Production, 2020 Paper aims Considering that disaster preparedness is essential for a prompt and effective response, this paper presents a study to locate disaster relief supplies.
Irineu de Brito Junior +2 more
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EUREKA: Physics and Engineering, 2022 As it is known, one of the initial and important stages in the creation of optimal control systems of oil refining technological units is the development of a mathematical model that can adequately record the processes at any time. The operative and accurate measurement of all input and output variables is one of the important conditions in the ...
Safarova, Aygun, Damirova, Javida
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, 2021 Stochastic dynamic models have been extensively used for the description of processes with uncertainties arising in the operations research, behavioral sciences, and many other application areas. A large class of the problems from these domains is characterized by the necessity to deal with several distinct groups of populations, which are usually ...
Thieu, Thi Kim Thoa, Melnik, Roderick
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Research on Stochastic Optimal Operation Strategy of Active Distribution Network Considering Intermittent Energy [PDF]
Energies, 2017 Active distribution networks characterized by high flexibility and controllability are an important development mode of future smart grids to be interconnected with large scale distributed generation sources including intermittent energies. However, the uncertainty of intermittent energy and the diversity of controllable devices make the optimal ...
Fei Chen, Dong Liu, Xiaofang Xiong
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Energies, 2022 With the completion of the Lianghekou Reservoir, with a multiyear regulation capacity, the operation relationship of the cascade reservoirs in the Yalong River is becoming increasingly complex. In order to study an optimal operation mode of the cascade reservoirs in the Yalong River under different inflow frequencies, based on the shortcomings of the ...
Ailing Xu, Li Mo, Qi Wang
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Performance of LLMS on Stochastic Modeling Operations Research Problems: From Theory to Practice
2025 Winter Simulation Conference (WSC)Large language models (LLMs) have exhibited expert-level capabilities across various domains. However, their abilities to solve problems in Operations Research (OR) -- the analysis and optimization of mathematical models derived from real-world problems or their verbal descriptions -- remain underexplored.
Akshit Kumar +3 more
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Stochastic Processes Model and its Application in Operations Research
, 1969 Just as the probability theory is regarded as the study of mathematical models of random phenomena, the theory of stochastic processes plays an important role in the investigation of random phenomena depending on time. A random phenomenon that arises through a process which is developing in time and controlled by some probability law is called a ...
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Improving Resource Utilization for Arthroplasty Care by Leveraging Machine Learning and Optimization: A Systematic Review. [PDF]
Arthroplast Today, 2023 Entezari B +7 more
europepmc +1 more source
Cytomorphic Electronic Systems: A review and perspective. [PDF]
IEEE Nanotechnol Mag, 2021 Beahm DR +3 more
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Tri-objective generator maintenance scheduling model based on sequential strategy. [PDF]
PLoS One, 2022 Muthana SA, Ku-Mahamud KR.
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