Real-Time Drift-Driving Control for an Autonomous Vehicle: Learning from Nonlinear Model Predictive Control via a Deep Neural Network by Taekgyu Lee, Dongyoon Seo, Jinyoung Lee, Yeonsik Kang

“…In general, the NMPC method is based on numerical optimization which is difficult to run in real-time. …”
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Effect of Two-Dimensional Profile Optimization on Vertical Axis Wind Turbine Power Performance by Cemil Yiğit*, Erdem Akman

“…The blade profile derived by numerical optimization reached 25% higher power coefficient than the blade profile derived by parametric optimization. …”
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Computation of rare transitions in the barotropic quasi-geostrophic equations by Jason Laurie, Freddy Bouchet

“…We adapt a class of numerical optimization algorithms known as minimum action methods to simple geophysical turbulent models. …”
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Development of Neural Network Model Based on Conjugate Gradient and Resilient Back-Propagation Training Function for Estimation of Longitudinal Dispersion Coefficient in Rivers by Roohollah Noori, Behzad Ghiasi, عبدالرضا کرباسی, امین سارنگ

“…In this research, an artificial neural network (ANN) model has been developed based on the standard numerical optimization algorithms and heuristic techniques to determine the LDC. …”
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Research on synchronous optimization effect of working fluid components and node parameters of organic Rankine cycle (ORC) by Conghui Gu, Yujian Zhang, Chunli Tang, Oshkin Vladislav Olegovich, Kasolongo Ndongo Gloria

“…Compared with the previous publication, the overall performance is finally improved 1.68% by the new numerical optimization algorithm.…”
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Polarization Sensitive Imaging with Qubits by Vitaly Sukharenko, Roger Dorsinville

“…We compare reconstructed quantum state images of a birefringent sample using direct quantum state tomography and inverse numerical optimization technique. Qubits are used to characterize birefringence in a flat transparent plastic sample by means of polarization sensitive measurement using density matrices of two-level quantum entangled photons. …”
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Transonic Wing Design Using Inverse and Optimization Methods by A. L. Bolsunovsky, N. P. Buzoverya

“…Presented is an effective procedure for aerodynamic design of transonic wings, based on joint use of fast method for direct calculation and inverse and numerical optimization methods developed by the authors. …”
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Utility of Particle Swarm Optimization in Statistical Population Reconstruction by Sergey S. Berg

“…Although numerous optimization methods have been used in the past, the benefits of using particle swarm optimization (PSO) have yet to be explored. …”
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Direct steam generation solar systems with screw expanders and parabolic trough collectors: Energetic assessment at part-load operating conditions by Paolo Iodice, Giuseppe Langella, Amedeo Amoresano

“…This paper explains a numerical optimization of a novel screw expander-based solar thermal electricity plant to evaluate the energetic benefits in specific case studies. …”
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Fundamental limits and design principles of doublet metalenses by Martins Augusto, Li Juntao, Borges Ben-Hur V., Krauss Thomas F., Martins Emiliano R.

“…The physical operation and limitations of such doublet systems, however, are still not fully understood, and designs are still based on numerical optimization of the phase profiles. Here, we show the fundamental limits of doublet systems and provide a universal design strategy without any need to resort to numerical optimization. …”
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Federated Deep Reinforcement Learning for Online Task Offloading and Resource Allocation in WPC-MEC Networks by Lianqi Zang, Xin Zhang, Boren Guo

“…Simulation results demonstrate that the proposed FDOR algorithm is superior to the traditional numerical optimization method and the existing DRL algorithm in four aspects: convergence speed, execution delay, overall calculation rate and stability in large-scale and dynamic IoT.…”
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Wavelet Domain Radiofrequency Pulse Design Applied to Magnetic Resonance Imaging. by Andrew M Huettner, Nikolai J Mickevicius, Ali Ersoz, Kevin M Koch, L Tugan Muftuler, Andrew S Nencka

“…A new method for designing radiofrequency (RF) pulses with numerical optimization in the wavelet domain is presented. …”
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A Liu-Storey-type conjugate gradient method for unconstrained minimization problem with application in motion control by Auwal Bala Abubakar, Maulana Malik, Poom Kumam, Hassan Mohammad, Min Sun, Abdulkarim Hassan Ibrahim, Aliyu Ibrahim Kiri

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An enhanced Gradient-based Optimizer for parameter estimation of various solar photovoltaic models by M. Premkumar, Pradeep Jangir, C. Ramakrishnan, C. Kumar, R. Sowmya, Sanchari Deb, Nallapaneni Manoj Kumar

“…Firstly, the performance of CCNMGBO is validated on 10 benchmark numerical optimization problems, and secondly, applied to the parameter estimation of various PV models. …”
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The Organization of the Own System of the Numeration for the Full Search Arguments at the Global Extremum Determination by N. A. Kritsyna, Y. P. Kulyabichev, A. A. Malyuk, A. A. Sukhanov

“…Determination consists of the serial numerical optimization several coefficients with the own numeration of the each series.…”
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Spacecraft trajectory optimization / by Conway, Bruce A.

“…Although the basic tools of optimization theory remain an accepted canon, there has been a revolution in the manner in which they are applied and in the development of numerical optimization. This volume purposely includes a variety of both analytical and numerical approaches to trajectory optimization. …”

Optimization of Water Network Topology and Pipe Sizing to Aid Water Utilities in Deciding on a Design Philosophy: A Real Case Study in Belgium by Ina Vertommen, Djordje Mitrović, Karel van Laarhoven, Pieter Piens, Maarten Torbeyns

“…Numerical optimization is gradually finding its way into drinking water practice. …”
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An Enhanced Differential Evolution Algorithm with Bernstein Operator and Refracted Oppositional-Mutual Learning Strategy by Fengbin Wu, Junxing Zhang, Shaobo Li, Dongchao Lv, Menghan Li

“…Numerical optimization has been a popular research topic within various engineering applications, where differential evolution (DE) is one of the most extensively applied methods. …”
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Optimization of Trypsin-like Protease Production by Lactobacillus plantarum FNCC 0270 using Response Surface Methodology by Trismilah Trismilah, Astutiati Nurhasanah, Wahono Sumaryono, Amarila Malik, Mohamad Sadikin

“…The best results showed an enzyme activity of 1.0 mU/mL, a protein level of 0.557 mg/mL, and desirability value of 0.740. Numerical optimization was performed to approach the ideal state of the fermentation or the desirability value of 1. …”
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Inductor coil of the highest possible $$\mathbf {Q}$$ Q by A. Rikhter, M. M. Fogler

“…Abstract The geometry of an inductor made of a long thin wire and having the highest possible Q-factor is found by numerical optimization. As frequency increases, the Q-factor first grows linearly and then according to a square-root law, while the cross-section of the optimal coil evolves from near-circular to sickle-shaped.…”
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