Results 31 to 40 of about 25,783 (262)
Risks, 2017 This paper considers an alternative way of structuring stochastic variables in a dynamic programming framework where the model structure dictates that numerical methods of solution are necessary. Rather than estimating integrals within a Bellman equation
Gaurav Khemka, Adam Butt
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Subdifferential Convergence in Stochastic Programs [PDF]
SIAM Journal on Optimization, 1995 Summary: We discuss convergence behavior of subdifferentials in approximation schemes for stochastic programs. This information is useful for solving stochastic programs by nonlinear programming techniques. \textit{R. J.-B. Wets} [`Variational inequalities and complementarity problems', New York, 375-404 (1980)] showed that equiconvergence of closed ...
John R. Birge, Liqun Qi 0001
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IET Renewable Power GenerationStochastic programming is a competitive tool in power system uncertainty management. Traditionally, stochastic programming assumes uncertainties to be exogenous and independent of decisions.
Wenqian Yin, Yunhe Hou
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Effects of Probability Function on the Performance of Stochastic Programming [PDF]
Journal of Optimization in Industrial Engineering, 2018 Stochastic programming is a valuable optimization tool where used when some or all of the design parameters of an optimization problem are defined by stochastic variables rather than by deterministic quantities.
Mohammad Ebrahim Karbaschi +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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FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
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Solving the General Fuzzy Random Bilevel Programming Problem Through
IEEE Access, 2018 This paper addresses the general fuzzy random bilevel programming problem in which not only both objective functions, but also the constraints contain fuzzy random variable coefficients.
Aihong Ren
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IEEE Access, 2020 In recent years, more and more oil companies adopt initiative delivery mode to make the refined oil secondary distribution scheme. In this work, we focus on the optimization problem of refined oil secondary distribution based on the initiative ...
Zhenping Li, Yuwei Zhang, Guowei Zhang
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From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
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Simulation-Based EDAs for Stochastic Programming Problems
Computation, 2020 With the rapid growth of simulation software packages, generating practical tools for simulation-based optimization has attracted a lot of interest over the last decades. In this paper, a modified method of Estimation of Distribution Algorithms (EDAs) is
Abdel-Rahman Hedar +2 more
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