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Published in 2019 at "KSCE Journal of Civil Engineering"
DOI: 10.1007/s12205-019-1189-5
Abstract: The coupling ratio (CR) has been widely used to quantitatively reflect the degree of coupling action between the component walls and link beams of a coupled wall. However, the CR index is very difficult to…
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Keywords:
coupled walls;
nonlinear optimization;
geometric parameters;
optimization geometric ... See more keywords
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Published in 2018 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-016-0356-2
Abstract: In this work, we introduce a methodology to approximate unknown parameters that appear on a non-linear reaction–diffusion model of tumor invasion. These equations consider that tumor-induced alteration of micro-environmental pH furnishes a mechanism for cancer…
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Keywords:
nonlinear optimization;
tissue;
model;
tumor invasion ... See more keywords
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Published in 2020 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2020.112993
Abstract: Abstract Data-Driven Computational Mechanics is a novel computing paradigm that enables the transition from standard data-starved approaches to modern data-rich approaches. At this early stage of development, one can distinguish two mainstream directions. The first one, which…
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Keywords:
nonlinear optimization;
framework data;
data driven;
optimization ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.05.093
Abstract: Abstract In this paper, discrete-time nonlinear optimization (DTNO) for tracking control of robot manipulators is investigated. By utilizing zeroing neural dynamics (ZND) method, a continuous-time ZND (CTZND) model is first proposed for solving the corresponding…
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Keywords:
discrete time;
nonlinear optimization;
step;
time ... See more keywords
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Published in 2024 at "Journal of Synchrotron Radiation"
DOI: 10.1107/s1600577524004569
Abstract: A self-adaptive crossover parameter is introduced in a strategy to adopt a new ηc for every generation while running a multi-objective genetic algorithm.
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Keywords:
emittance storage;
low emittance;
nonlinear optimization;
optimization low ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3519522
Abstract: With an emphasis on nonlinear models for energy harvesting (EH), this article examines nonlinear approaches in advanced optimization for simultaneous wireless information and power transfer (SWIPT). The SWIPT technology suffers from optimizing system performance due…
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Keywords:
review;
nonlinear optimization;
techniques swipt;
optimization techniques ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3598642
Abstract: The dielectric permittivity model of concrete plays a key role in characterizing its interaction with electromagnetic (EM) waves but also in determining its mechanical properties. Among various EM models, the Jonscher universal dielectric response has…
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Keywords:
nonlinear optimization;
jonscher universal;
model;
optimization algorithms ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3156616
Abstract: In recent years, indoor positioning has drawn intensive attention for both pedestrian and mobile robot applications. Among various indoor positioning technologies, visible light positioning has many advantages due to its high localization accuracy, high bandwidth,…
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Keywords:
accuracy;
light positioning;
visible light;
nonlinear optimization ... See more keywords
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Published in 2024 at "IEEE Antennas and Wireless Propagation Letters"
DOI: 10.1109/lawp.2024.3358998
Abstract: Numerous methods for the design of antenna arrays are based on optimization techniques. If the design problem can be expressed in a convex form, convex optimization is applied. If such is not the case, iterative…
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Keywords:
antenna arrays;
design uniformly;
nonlinear optimization;
uniformly excited ... See more keywords
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Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3138794
Abstract: Although time-variant nonlinear optimization with equality and inequality constraints (TVNOEIC) is a widespread problem in real life, the research on this issue is much less than the time-invariant one. Large lagging errors may not be…
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Keywords:
time;
neural dynamics;
model;
nonlinear optimization ... See more keywords
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Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3138550
Abstract: Up to date, the existing methods for nonlinear optimization with time-dependent parameters can be classified into two types: 1) static methods are capable of handling inequality constraints but may generate large lagging errors in the…
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Keywords:
problem;
time;
time dependent;
inequality constraints ... See more keywords