Optimal surveillance against foot-and-mouth disease: A sample average approximation approach. [PDF]
PLoS ONE, 2020 Decisions surrounding the presence of infectious diseases are typically made in the face of considerable uncertainty. However, the development of models to guide these decisions has been substantially constrained by computational difficulty.
Tom Kompas +5 more
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Smoothing sample average approximation method for solving stochastic second-order-cone complementarity problems [PDF]
Journal of Inequalities and Applications, 2018 In this paper, we consider stochastic second-order-cone complementarity problems (SSOCCP). We first use the so-called second-order-cone complementarity function to present an expected residual minimization (ERM) model for giving reasonable solutions of ...
Meiju Luo, Yan Zhang
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A two-stage stochastic programming approach for care providers' shift scheduling problems [PDF]
Journal of Applied Research on Industrial Engineering, 2023 Due to the importance of the health field, the problem of determining the shift scheduling of care providers has been addressed in many studies, and various methods have been proposed to solve it.
Hajar Shirneshan +3 more
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The correction of Inelastic Neutron Scattering data of organic samples using the Average Functional Group Approximation [PDF]
EPJ Web of Conferences, 2022 The use of the Average Functional Group Approximation for self-shielding corrections at inelastic neutron spectrometers is discussed. By taking triptindane as a case study, we use the above-mentioned approximation to simulate a synthetic dynamic ...
Preziosi Enrico +3 more
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Sample average approximation for risk-averse problems: A virtual power plant scheduling application
EURO Journal on Computational Optimization, 2021 In this paper, we address the decision-making problem of a virtual power plant (VPP) involving a self-scheduling and market involvement problem under uncertainty in the wind speed and electricity prices.
Ricardo M. Lima +5 more
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Deterministic Bi-Criteria Model for Solving Stochastic Mixed Vector Variational Inequality Problems
Mathematics, 2023 In this paper, we consider stochastic mixed vector variational inequality problems. Firstly, we present an equivalent form for the stochastic mixed vector variational inequality problems.
Meiju Luo, Menghan Du, Yue Zhang
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A hybrid genetic algorithm for scheduling jobs sharing multiple resources under uncertainty
EURO Journal on Computational Optimization, 2022 This study addresses the scheduling problem where every job requires several types of resources. At every point in time, the capacity of resources is limited. When necessary, the capacity can be increased at a cost.
Hanyu Gu, Hue Chi Lam, Yakov Zinder
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Applied Sciences, 2023 This paper critically examines the weighted sample average approximation (wSAA) framework, a widely used approach in prescriptive analytics for managing uncertain optimization problems featuring non-linear objectives.
Shuaian Wang, Xuecheng Tian
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Statistical modeling for laser induced damage threshold
Computational Science and Techniques, 2021 Monte Carlo experiments are an efficient tool for investigation of the Laser-Induced Damage Threshold (LIDT) testing with pulsed lasers. In this study, the approach of sequential Monte Carlo search is developed for LIDT testing with bundle of laser ...
Leonidas Sakalauskas +1 more
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Neutron thermal cross sections of 3D-printing organic polymers using the Average Functional Group Approximation [PDF]
EPJ Web of Conferences, 2023 We provide a worked example on how to obtain the total neutron scattering cross section of organic polymers at thermal neutron energies by means of the Average Functional Group Approximation.
Romanelli Giovanni +5 more
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