Results 21 to 30 of about 186,684 (266)

On the unconstrained optimization reformulations for a class of stochastic vector variational inequality problems

open access: yesJournal of Inequalities and Applications, 2023
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
doaj   +1 more source

A Density-Based Offloading Strategy for IoT Devices in Edge Computing Systems

open access: yesIEEE Access, 2018
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
doaj   +1 more source

Mixed-Integer Conic Formulation of Unit Commitment with Stochastic Wind Power

open access: yesMathematics, 2023
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and volatility of renewable energy sources such as wind energy, the traditional thermal unit commitment (UC) model is no longer applicable.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
doaj   +1 more source

Partial sample average approximation method for chance constrained problems [PDF]

open access: yesOptimization Letters, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cheng, Jianqiang   +2 more
openaire   +2 more sources

A Nonlinear Lagrange Algorithm for Stochastic Minimax Problems Based on Sample Average Approximation Method

open access: yesJournal of Applied Mathematics, 2014
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
doaj   +1 more source

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]

open access: yesمجله مدل سازی در مهندسی, 2017
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
doaj   +1 more source

Stochastic Nash equilibrium problems: sample average approximation and applications [PDF]

open access: yesComputational Optimization and Applications, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Huifu Xu, Dali Zhang
openaire   +3 more sources

Design of micromachines under uncertainty with the sample-average approximation method

open access: yesJournal of Advanced Mechanical Design, Systems, and Manufacturing
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
doaj   +1 more source

Determining the Optimal Location of Vehicle Inspection Facilities Under Uncertainty via New Optimization Approaches

open access: yesIEEE Access, 2020
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
doaj   +1 more source

Nonparametric Approximation Strategy Iteration Parallel Reinforcement Learning Algorithm [PDF]

open access: yesJisuanji gongcheng, 2018
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
doaj   +1 more source

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