Results 11 to 20 of about 13,577 (310)
Pure characteristics demand models and distributionally robust mathematical programs with stochastic complementarity constraints [PDF]
Mathematical Programming, 2021 We formulate pure characteristics demand models under uncertainties of probability distributions as distributionally robust mathematical programs with stochastic complementarity constraints (DRMP-SCC). For any fixed first-stage variable and a random realization, the second-stage problem of DRMP-SCC is a monotone linear complementarity problem (LCP). To
Jie Jiang 0003, Xiaojun Chen 0001
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Formulating and Solving Routing Problems on Quantum Computers
IEEE Transactions on Quantum Engineering, 2021 The determination of vehicle routes fulfilling connectivity, time, and operational constraints is a well-studied combinatorial optimization problem. The NP-hard complexity of vehicle routing problems has fostered the adoption of tailored exact approaches,
Stuart Harwood +5 more
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Optimisation and Management of Virtual Power Plants Energy Mix Trading Model
International Journal of Renewable Energy Development, 2022 . In this study, a robust optimisation method (ROM) is proposed with aim to achieve optimal scheduling of virtual power plants (VPPs) in the day-ahead electricity markets where electricity prices are highly uncertain.
Zahid Ullah +2 more
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Robust Widely Linear Beamforming With Multiple Uncertainty Sets
IEEE Access, 2022 The widely linear minimum variance distortionless response (WL-MVDR) beamformer has a better performance than the conventional MVDR beamformer when the received signals are potentially noncircular. However, it is sensitive to the extended steering vector
Jiashuo Yang, Guang Liang
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Technological and Economic Development of Economy, 2015 In ceramic companies, uncertainty in the tone and gage obtained in first quality units of the same finished good (FG) entails frequent discrepancies between planned homogeneous quantities and real ones. This fact can lead to a shortage situation in which
M. M. E. Alemany +3 more
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Axioms, 2022 The purpose of this study is to provide a mathematical construction based on the novel singular perturbed model of the second kind (NSPM-SK) using the standard form of the Lane–Emden. The singular Lane–Emden types of the models have abundant applications
Muneerah Al Nuwairan, Zulqurnain Sabir
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Mathematical programming formulations for robust airside terminal traffic flow optimisation problem
Computers & Industrial Engineering, 2021 Abstract The robust traffic flow modelling approach offers a perspicacious and holistic surveillance for flight activities in a nearby terminal manoeuvring area. The real time flight information expedites the streaming control of terminal operations using computational intelligence.
Kam K. H. Ng +2 more
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IET Renewable Power Generation, 2022 The new technologies, such as soft open points (SOPs) and demand response (DR), offer original approaches to stabilize the system operation and accommodate the high penetration of distributed generators (DGs).
Hong Liu +5 more
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Mathematics, 2023 This research focuses on designing a min–max robust control based on a neural dynamic programming approach using a class of continuous differential neural networks (DNNs). The proposed controller solves the robust optimization of a proposed cost function
Alexander Poznyak +4 more
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Energies, 2019 In this study, a type-2 fuzzy chance-constrained fractional integrated programming (T2FCFP) approach is developed for the planning of sustainable management in an electric power system (EPS) under complex uncertainties.
Changyu Zhou, Guohe Huang, Jiapei Chen
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