Results 11 to 20 of about 21,753 (225)
Sensors, 2023 This paper presents an advanced methodology for defect prediction in radiographic images, predicated on a refined particle swarm optimization (PSO) algorithm with an emphasis on fluctuation sensitivity.
Zhongyu Shang +3 more
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The Design and Application of Quantum-Behaved Particle Swarm Optimization Based on Levy Flight
Chemical Engineering Transactions, 2016 Both Particle Swarm Optimization (PSO) and its improved version of Quantum-behaved Particle Swarm Optimization (QPSO) are the novel swarm intelligence optimization algorithms.
Y.Y. Liu
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Particle Swarm Optimization with Independent Adaptive Parameter Adjustment
Jisuanji kexue yu tansuo, 2020 Aiming at the problems that traditional particle swarm optimization (PSO) algorithm is prone to fall into local optimum and depends on the value of parameters when solving complex optimization problems, an independent adaptive parameter adjustment ...
ZHANG Qiwen, WEI Yachen
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An improved particle swarm optimization algorithm with adaptive weighted delay velocity
Systems Science & Control Engineering, 2021 An improved particle swarm optimization (PSO) with adaptive weighted delay velocity (PSO-AWDV) is proposed in this paper. A new scheme blending weighted delay velocity is firstly presented for a new PSO with weighted delay velocity (PSO-WDV) algorithm ...
Lin Xu, Baoye Song, Maoyong Cao
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A Modified NM-PSO Method for Parameter Estimation Problems of Models
Journal of Applied Mathematics, 2012 Ordinary differential equations usefully describe the behavior of a wide range of dynamic physical systems. The particle swarm optimization (PSO) method has been considered an effective tool for solving the engineering optimization problems for ordinary ...
An Liu, Erwie Zahara, Ming-Ta Yang
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IEEE Access, 2020 An explosion field is random and nonuniform, and test sensors can be damaged by fragments during blast wave monitoring. When accurately and comprehensively obtaining the experimental data and the dynamic distributions from an explosion field, the ...
Yong-Hong Ding, Wen-Bin You
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The particle swarm optimization (PSO) algorithm application – A review [PDF]
Global Journal of Engineering and Technology Advances, 2020 La optimización de enjambre de partículas (PSO) es uno de los conceptos de inteligencia de enjambre inspirados en estudios en neurociencias, psicología cognitiva, etología social y ciencias del comportamiento, introducidos en el dominio de la computación y la inteligencia artificial como un paradigma inteligente colectivo y distribuido innovador para ...
Ovat Friday Aje, Anyandi Adie Josephat
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Gravity inversion of a fault by Particle swarm optimization (PSO) [PDF]
SpringerPlus, 2013 Particle swarm optimization is a heuristic global optimization method and also an optimization algorithm, which is based on swarm intelligence. It comes from the research on the bird and fish flock movement behavior. In this paper we introduce and use this method in gravity inverse problem. We discuss the solution for the inverse problem of determining
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A Novel TSA-PSO Based Hybrid Algorithm for GMPP Tracking under Partial Shading Conditions
Energies, 2022 In this paper, a new hybrid TSA-PSO algorithm is proposed that combines tunicate swarm algorithm (TSA) with the particle swarm optimization (PSO) technique for efficient maximum power extraction from a photovoltaic (PV) system subjected to partial ...
Abhishek Sharma +5 more
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The Butterfly-Particle Swarm Optimization (Butterfly-PSO/BF-PSO) Technique and Its Variables [PDF]
SSRN Electronic Journal, 2015 The new presented Butterfly-PSO technique (or BF-PSO) is basically originated by Particle Swarm Optimization (PSO). The Butterfly-PSO technique (BF-PSO) appears as a new growing star among all optimization techniques. The proposed 'Butterfly- Particle Swarm Optimization (Butterfly or BF-PSO)' is inspired by butterfly natural intelligence, character ...
Aashish Kumar Bohre +2 more
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