Results 21 to 30 of about 186,684 (266)
In this paper, a class of stochastic vector variational inequality (SVVI) problems are considered. By employing the idea of a D-gap function, the SVVI problem is reformulated as a deterministic model, which is an unconstrained expected residual ...
Dan-dan Dong, Guo-ji Tang, Hui-ming Qiu
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A Density-Based Offloading Strategy for IoT Devices in Edge Computing Systems
Collaboration spaces formed from edge servers can efficiently improve the quality of experience of service subscribers. In this paper, we first utilize a strategy based on the density of Internet of Things (IoT) devices and k-means algorithm to partition
Cheng Zhang +2 more
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Mixed-Integer Conic Formulation of Unit Commitment with Stochastic Wind Power
Due to the high randomness and volatility of renewable energy sources such as wind energy, the traditional thermal unit commitment (UC) model is no longer applicable.
Haiyan Zheng, Liying Huang, Ran Quan
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Partial sample average approximation method for chance constrained problems [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cheng, Jianqiang +2 more
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An implementable nonlinear Lagrange algorithm for stochastic minimax problems is presented based on sample average approximation method in this paper, in which the second step minimizes a nonlinear Lagrange function with sample average approximation ...
Suxiang He, Yunyun Nie, Xiaopeng Wang
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Two Stage Stochastic Programing Based on the Sample Average Approximation and Accelerated Benders Decomposition for Designing Closed-loop Supply Chain Network Design under Uncertainty [PDF]
In this paper, a comprehensive mathematical model for designing supply chain network via considering integrated flow of forward and reverse of multiple products during multiple periods is proposed.
Aliakbar Hasani
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Stochastic Nash equilibrium problems: sample average approximation and applications [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Huifu Xu, Dali Zhang
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Design of micromachines under uncertainty with the sample-average approximation method
Variability in the features produced by microfabrication processes, as well as uncertainty in some material properties, may cause a significant deviation in the performance of micromachines within the same fabrication run.
Jorge Mario MONSALVE GUARACAO +5 more
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This study addresses the problem of optimally locating vehicle inspection facilities under uncertain customer demand and varying velocity considering regional constraints.
Peng Wu +4 more
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Nonparametric Approximation Strategy Iteration Parallel Reinforcement Learning Algorithm [PDF]
To solve the problem of slow convergence speed of the online approximation strategy iteration reinforcement learning algorithm,a nonparametric approximation strategy iteration parallel reinforcement learning algorithm is proposed.The number of parallel ...
JI Ting,ZHANG Hua
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