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Ishaq Hafez and Rached Dhaouadi
This study presents hybrid particle swarm optimization with quasi-Newton (HPSO-QN), a hybrid optimization method for accurately identifying mechanical parameters in two-mass model (2MM) systems. These systems are commonly used to model and control high-p...
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Vladimir Milic, Josip Kasac and Marin Lukas
This paper presents an approach for the solution of a zero-sum differential game associated with a nonlinear state-feedback H8
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control problem. Instead of using the approximation methods for solving the corresponding Hamilton?Jacobi?Isaacs (HJI) par...
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Chao Wang, Jianhui Xu, Yuefeng Li, Tuanhui Wang and Qiwei Wang
Rockbursts are serious threats to the safe production of mining, resulting in great casualties and property losses. The accurate prediction of rockburst is an important premise that influences the safety and health of miners. As a classical machine learn...
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Joseph Isabona, Agbotiname Lucky Imoize, Oluwasayo Akinloye Akinwumi, Okiemute Roberts Omasheye, Emughedi Oghu, Cheng-Chi Lee and Chun-Ta Li
Benchmarking different optimization algorithms is tasky, particularly for network-based cellular communication systems. The design and management process of these systems involves many stochastic variables and complex design parameters that demand an unb...
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S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio and Hideki Asai
Gradient-based methods are popularly used in training neural networks and can be broadly categorized into first and second order methods. Second order methods have shown to have better convergence compared to first order methods, especially in solving hi...
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D.S. Kurennoy
Pág. 9 - 21
The key mechanisms to determine the effectiveness of bank's activities is the credit risk management. One of the main procedures recommended to banks for risk assessment is reverse stress testing. Reverse stress testing is the construction of realistic s...
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Yorlandys Salgado Duarte,Alfredo Martínez del Castillo Serpa,Ariel Santos Fuentefría
Pág. 157 - 167
El objetivo del trabajo fue programar el mantenimiento preventivo de las unidades generadoras de un sistema de potencia con un modelo de optimización que minimiza el costo de operación y mantenimiento. Para modelar el costo de operación de las unidades s...
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Matthias Schramm, Bernhard Stoevesandt and Joachim Peinke
The adjoint approach in gradient-based optimization combined with computational fluid dynamics is commonly applied in various engineering fields. In this work, the gradients are used for the design of a two-dimensional airfoil shape, where the aim is a c...
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Matthew Chan, Rogelio Cuevas-Saavedra, Debajit Chakraborty and Paul W. Ayers
We propose a limited-memory quasi-Newton method using the bad Broyden update and apply it to the nonlinear equations that must be solved to determine the effective Fermi momentum in the weighted density approximation for the exchange energy density funct...
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W. E. Leithead; Yunong Zhang
Pág. 367 - 380
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