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A New Optimizer Using Particle Swarm Theory

R. Eberhart, J. Kennedy
Published 1995 · Computer Science

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The optimization of nonlinear functions using particle swarm methodology is described. Implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm. Benchmark testing of both paradigms is described, and applications, including neural network training and robot task learning, are proposed. Relationships between particle swarm optimization and both artificial life and evolutionary computation are reviewed.
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10.1109/MMSP.2008.4665078
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10.1016/J.ESWA.2019.112825
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P. Agarwalla (2020)
10.1109/TEVC.2016.2605668
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M. R. Bonyadi (2017)
10.1109/ICCIS.2004.1460444
Grouped-and-delayed broadcasting mechanism for optimum information in particle swarm optimization
L. Wang (2004)
10.22606/IJPER.2017.11006
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M. Alomoush (2017)
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C. W. Yeung (2009)
10.1186/1478-811X-12-34
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Computational algorithms inspired by biological processes and evolution
J. M. Reddy (2012)
Automatic skin cancer detection system
A. N. Hoshyar (2014)
Optimal Setting of PI Parameters for Direct Current Motor Drives by Symbiotic Organisms Search Algorithm
Ayari (2017)
AUTOMATIC CALIBRATION OF HYDROLOGIC EVENT-BASED MODEL USING PSO META-HEURISTIC ALGORITHM
B. Kamali (2012)
10.1504/IJMIC.2011.043150
An approach for rigid image registration based on wavelet decomposition and modified particle swarm optimisation
W. Hu (2011)
10.1007/s40595-017-0099-z
A novel hybrid algorithm for generalized traveling salesman problems in different environments
Indadul Khan (2017)
10.1109/TPWRS.2015.2407899
Accelerate Population-Based Stochastic Search Algorithms With Memory for Optima Tracking on Dynamic Power Systems
T. Zhu (2016)
10.1016/j.jsv.2020.115315
An efficient approach to model updating for a multispan railway bridge using orthogonal diagonalization combined with improved particle swarm optimization
H. Tran-Ngoc (2020)
10.35940/ijitee.j9834.0881019
2-D histogram Based Multilevel Thresholding for Image Segmentation by Hybrid Bacterial Foraging Optimization and Particle Swarm Optimization
P. V. P. Reddy (2019)
10.1109/ACCESS.2018.2886245
Multi-Robot Path Planning Based on Multi-Objective Particle Swarm Optimization
S. Thabit (2019)
10.1007/S11771-016-3087-Z
A hybrid discrete particle swarm optimization-genetic algorithm for multi-task scheduling problem in service oriented manufacturing systems
Shan-yu Wu (2016)
10.1016/J.IJRMMS.2011.02.013
Prediction of hard rock TBM penetration rate using particle swarm optimization
S. Yagiz (2011)
10.1016/j.amc.2014.01.146
An improved krill herd algorithm: Krill herd with linear decreasing step
Junpeng Li (2014)
10.1109/CEC48606.2020.9185760
A Symmetric grammar approach for designing segmentation models
R. H. R. Lima (2020)
10.1007/s11047-009-9170-8
A novel particle swarm niching technique based on extensive vector operations
I. Schoeman (2009)
10.1109/SIS.2009.4937842
Particle swarm optimizer for variable weighting in clustering high-dimensional data
Yanping Lv (2009)
10.1007/978-3-540-89694-4_21
Reference Point-Based Particle Swarm Optimization Using a Steady-State Approach
R. Allmendinger (2008)
10.1016/j.amc.2008.05.147
Particle swarm optimization with FUSS and RWS for high dimensional functions
Zhihua Cui (2008)
10.1109/TAES.2008.4655365
Maximum likelihood DOA estimation in unknown colored noise fields
Minghui Li (2008)
10.1007/S10765-009-0591-5
Estimation of Density as a Function of Temperature and Pressure for Imidazolium-Based Ionic Liquids Using a Multilayer Net with Particle Swarm Optimization
J. A. Lazzús (2009)
10.1109/ASC-ICSC.2008.4675620
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