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Published in 2019 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2019.06.041
Abstract: Abstract In this study, an improved PSO (particle swarm optimization) algorithm is proposed and applied to the robust optimization of a wing at drag divergence Mach number. In order to reduce the number of design…
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Keywords:
mach;
optimization;
number;
improved pso ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2998145
Abstract: Predicting urban air quality is a significant aspect of preventing urban air pollution and improving the living environment of urban residents. The air quality index (AQI) is a dimensionless tool for quantitatively describing air quality.…
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Keywords:
neural network;
improved pso;
using improved;
air ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3073420
Abstract: Automatic generation of feasible trajectory is one of the key technologies for autonomous flying of unmanned aerial vehicles (UAVs). The existing path planning methods, such as swarm intelligence algorithm and graph-based algorithm, cannot incorporate the…
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Keywords:
optimization;
trajectory planning;
improved pso;
initial values ... See more keywords
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Published in 2019 at "Mathematical Problems in Engineering"
DOI: 10.1155/2019/1934796
Abstract: Nickel is a vital strategic metal resource with commodity and financial attributes simultaneously, whose price fluctuation will affect the decision-making of stakeholders. Therefore, an effective trend forecast of nickel price is of great reference for…
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Keywords:
lstm neural;
improved pso;
nickel price;
model ... See more keywords
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1
Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9030521
Abstract: Predicting the extreme loads in power production for the preliminary-design of large-scale wind turbine blade is both important and time consuming. In this paper, a simplified method, called Particle Swarm Optimization-Extreme Load Prediction Model (PSO-ELPM),…
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Keywords:
root;
extreme loads;
power production;
improved pso ... See more keywords
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Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9132589
Abstract: In this paper, a radial basis function neural network (RBFNN) surrogate model optimized by an improved particle swarm optimization (PSO) algorithm is developed to reduce the computation cost of traditional antenna design methods which rely…
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Keywords:
improved pso;
antenna;
model;
surrogate model ... See more keywords