Runtime analysis of binary PSO [PDF]
Proceedings of the 10th annual conference on Genetic and evolutionary computation, 2008 We investigate the runtime of the Binary Particle Swarm Optimization (PSO) algorithm introduced by Kennedy and Eberhart (1997). The Binary PSO maintains a global best solution and a swarm of particles. Each particle consists of a current position, an own best position and a velocity vector used in a probabilistic process to update the particle's ...
Sudholt, Dirk, Witt, Carsten
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Rapid Exothermic Adsorption of Congo Red Dye on (Ni0.25Cu0.25Zn0.50) Fe2O4 Nano Composites; Investigating Operating Parameters by Response Surface Methodology [PDF]
Iranian Journal of Chemistry & Chemical EngineeringIn the present study, (Ni0.25Cu0.25Zn0.5) Fe2O4 nanocomposites were synthesized through a co-precipitation method. They were characterized by Fourier-Transform InfraRed (FT-IR) spectroscopy, Scanning Electron Microscope (SEM), X-Ray Diffraction (XRD ...
Hajira Tahir +3 more
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Crack prediction in beam-like structure using ANN based on frequency analysis
Fracture and Structural Integrity, 2022 The dynamic experimental and numerical analysis of cracked beams has been studied with the aim of quantifying the influence of depth crack on the dynamic response of steel beams. Artificial Neural Method ANN has been used where a numerical simulation was
Seguini Meriem +4 more
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Journal of Hydroinformatics, 2021 River water quality assessment, affected by pollution load, and river regime changes in various climate conditions, is an implementation that simplifies water resources management, and justifies terms for increases or decreases in human activities.
Saman Ebrahimi, Mahdis Khorram
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Handling boundary constraints for particle swarm optimization in high-dimensional search space [PDF]
, 2011 Despite the fact that the popular particle swarm optimizer (PSO) is currently being extensively applied to many real-world problems that often have high-dimensional and complex fitness landscapes, the effects of boundary constraints on PSO have not ...
Chu, W, Gao, X, Sorooshian, S
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Hybrid Machine Learning in Hydrological Runoff Forecasting: An Exploration of Extreme Gradient-Boosting and Categorical Gradient Boosting Optimization in the Russian River Basin [PDF]
Advances in Engineering and Intelligence SystemsAccurate and reliable runoff forecasts are essential for effective water resource management and flood control operations. Hydrological forecasting plays a key role in decision-making, especially under changing climate conditions.
Reza Seifi Majdar +2 more
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IEEE Access, 2020 This paper presents a Hybrid Shunt Active Power Filter (HSAPF) optimized by hybrid Particle Swarm Optimization-Grey Wolf Optimization (PSO-GWO) and Fractional Order Proportional-Integral-Derivative Controller (FOPIDC) for reactive power and harmonic ...
A. Mishra +5 more
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Modelling arterial pressure waveforms using Gaussian functions and two-stage particle swarm optimizer [PDF]
, 2014 Changes of arterial pressure waveform characteristics have been accepted as risk indicators of cardiovascular diseases. Waveform modelling using Gaussian functions has been used to decompose arterial pressure pulses into different numbers of subwaves and
Chang, Faliang +7 more
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Building nearest prototype classifiers using a Michigan approach PSO [PDF]
, 2007 IEEE Swarm Intelligence Symposium. Honolulu, HI, 1-5 april 2007This paper presents an application of particle swarm optimization (PSO) to continuous classification problems, using a Michigan approach. In this work, PSO is used to process training data to
Cervantes, Alejandro +2 more
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Optimal Placement Identification of Multiple DG Types Using Optimization Technique [PDF]
E3S Web of Conferences, 2023 In this paper, a combination algorithm called GAIPSO, which combines GA and a better version of the classic particle swarm optimization process, is used.
S. Mounika +2 more
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