Results 41 to 50 of about 248,257 (327)
IEEE Access, 2021 Autonomous sailing robots are a new type of green ship that use wind energy to maintain continuous cruising operations. Compared with traditional algorithms, swarm intelligence optimization algorithms have better intelligence and adaptation.
Lin Zhou +4 more
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Optimal frequency control in microgrid system using fractional order PID controller using Krill Herd algorithm [PDF]
, 2020 This paper investigates the use of fractional order Proportional, Integral and Derivative (FOPID) controllers for the frequency and power regulation in a microgrid power system. The proposed microgrid system composes of renewable energy resources such as
Gabbar, Hossam +4 more
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An Improved Parallel Particle Swarm Optimization
SN Computer Science, 2023 AbstractIn the area of global optimization, a variety of techniques have been developed to find the global minimum. These techniques, in most cases, require a significant amount of computational resources and time to complete and therefore there is a need to develop parallel techniques.
Vasileios Charilogis +2 more
openaire +1 more source
Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem [PDF]
, 2008 Particle Swarm Optimization is an evolutionary method inspired by the social behaviour of individuals inside swarms in nature. Solutions of the problem are modelled as members of the swarm which fly in the solution space.
AS Tanenbaum +19 more
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Blood Glucose Prediction With VMD and LSTM Optimized by Improved Particle Swarm Optimization
IEEE Access, 2020 The time series of blood glucose concentration in diabetics are time-varying, nonlinear and non-stationary. To improve the accuracy of blood glucose prediction, a short-term blood glucose prediction model (VMD-IPSO-LSTM) combining variational modal ...
Wenbo Wang, Meng Tong, Min Yu
semanticscholar +1 more source
Chemical Engineering Transactions, 2019 This paper considers the robust identification of Hammerstein-Wiener systems in the presence of Gaussian or non-Gaussian noises. An improved intelligent identification scheme is exploited by combining particle swarm optimization (PSO) and K-means ...
Zhu Wang, Haoran An, Xiong-Lin Luo
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Advances in Mechanical Engineering, 2017 An improved particle swarm optimization method that has better equilibrium characteristic between global search and local search is proposed for parameter identification of hysteresis nonlinear dynamic model for piezoelectric positioning system.
Yu Xie, Jing-Li Fu, Ben-Yong Chen
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Energy Reports, 2022 The sewage treatment system based on particle swarm optimization algorithm to improve energy efficiency is analyzed. Firstly, this paper takes particle swarm optimization algorithm and activated sludge sewage treatment method as the research object, and ...
Bingqin Su +5 more
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Feedback learning particle swarm optimization [PDF]
, 2011 This is the author’s version of a work that was accepted for publication in Applied Soft Computing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may ...
Andrews +34 more
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Applying Improved Particle Swarm Optimization to Asynchronous Parallel Disassembly Planning
IEEE Access, 2022 Disassembly Planning (DP) refers to an optimization method to find the most cost-effective disassembly sequence for products based on the disassembly properties of parts.
Hwai-En Tseng +2 more
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