Results 11 to 20 of about 2,459,786 (308)
Heuristic strategies for solving complex interacting stockpile blending problem with chance constraints [PDF]
Annual Conference on Genetic and Evolutionary Computation, 2021 The stockpile blending problem seeks to determine how many tonnages of ore that stockpiles provide and to which parcels. This scheduling model maximizes the volume of valuable material in the final production subject to resource capacities, constraints ...
Yue Xie, Aneta Neumann, Frank Neumann
semanticscholar +1 more source
Gradient formulae for probability functions depending on a heterogenous family of constraints
Open Journal of Mathematical Optimization, 2021 Probability functions measure the degree of satisfaction of certain constraints that are impacted by decisions and uncertainty. Such functions appear in probability or chance constraints ensuring that the degree of satisfaction is sufficiently high ...
van Ackooij, Wim, Pérez-Aros, Pedro
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Ambiguous Joint Chance Constraints Under Mean and Dispersion Information
Operations Research, 2017 Daniel Kuhn +2 more
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Energies, 2023 The existing distribution system planning methods do not fully consider improving power supply capacity and reliability through the coordination of multiple planning factors, and they are not comprehensive enough in quantifying planning risks. Therefore,
Jiahao Deng +3 more
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Frontiers in Robotics and AI, 2022 As robots move from the laboratory into the real world, motion planning will need to account for model uncertainty and risk. For robot motions involving intermittent contact, planning for uncertainty in contact is especially important, as failure to ...
Luke Drnach +5 more
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IEEE Access, 2021 Simultaneous deployment of the electric vehicle charging stations (EVCSs) and distributed photovoltaic stations (DPVSs) in the distribution systems is an effective way to reduce greenhouse gas emissions, promote renewable power adoption, and achieve ...
Xinsong Zhang +4 more
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Stochastic MPC with Distributionally Robust Chance Constraints [PDF]
IFAC-PapersOnLine, 2020 In this paper we discuss distributional robustness in the context of stochastic model predictive control (SMPC) for linear time-invariant systems. We derive a simple approximation of the MPC problem under an additive zero-mean i.i.d. noise with quadratic
Christoph Mark, Steven Liu
semanticscholar +1 more source
Model Predictive Control of Parabolic PDE Systems under Chance Constraints
Mathematics, 2023 Model predictive control (MPC) heavily relies on the accuracy of the system model. Nevertheless, process models naturally contain random parameters. To derive a reliable solution, it is necessary to design a stochastic MPC.
Ruslan Voropai, Abebe Geletu, Pu Li
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Energies, 2022 Recently there has been a considerable increase in the penetration level of distributed energy resources (DERs) due to various factors, such as the increasing affordability of these resources, the global movement towards sustainable energy, and the ...
Mingyue He +5 more
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IEEE Access, 2022 Maintenance is one of the critical areas in operations in which a careful balance between preventive costs and the effect of failures is required. Thanks to the increasing data availability, decision-makers can now use models to better estimate, evaluate,
Anthony D. Cho +2 more
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