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Journal of Harbin University of Science and Technology, 2019 In order to improve the precision of the parameter optimization, the research integrates the Particle Swarm Optimization Algorithm with Support Vector Machine, and matches the experimental data, and then establishes a steadystate model of complex process
MAN Chun-tao, LIU Bo, CAO Yong-cheng
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Orthogonal learning particle swarm optimization [PDF]
, 2010 Particle swarm optimization (PSO) relies on its learning strategy to guide its search direction. Traditionally, each particle utilizes its historical best experience and its neighborhood’s best experience through linear summation.
Zhi-hui Zhan +7 more
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Fractal and Fractional, 2022 As one of the main areas of value investing, the stock market attracts the attention of many investors. Among investors, market index movements are a focus of attention.
Hongwen Hu +3 more
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Multiplicate Particle Swarm Optimization Algorithm
Journal of Computers, 2010 Using Particle Swarm Optimization to handle complex functions with high-dimension it has the problems of low convergence speed and sensitivity to local convergence. The convergence of particle swarm algorithm is studied, and the condition for the convergence of particle swarm algorithm is given.
Shang Gao 0001, Zaiyue Zhang, Cungen Cao
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Advances in Mechanical Engineering, 2019 A dynamic adaptive particle swarm optimization and genetic algorithm is presented to solve constrained engineering optimization problems. A dynamic adaptive inertia factor is introduced in the basic particle swarm optimization algorithm to balance the ...
Hao Zhu, Yumei Hu, Weidong Zhu
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PLoS ONE, 2022 Particle swarm optimization and genetic algorithms are two classes of popular heuristic algorithms that are frequently used for solving complex multi-dimensional mathematical optimization problems, each one with its one advantages and shortcomings ...
Panagiotis Aivaliotis-Apostolopoulos +1 more
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Electrical engineering & Electromechanics, 2022 Introduction. Extracting maximum possible power from solar energy is a hot topic of the day as other sources have become costly and lead to pollution. Problem.
H. Saeed +5 more
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Cluster Partition Method of Distributed Power Supply Based on Improved Particle Swarm Optimization Algorithm [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2023 With the development of new power system construction, the proportion of grid-connected distributed power gradually increased. In order to solve the difficult problem of the regulation of distributed power in new distribution network, the improved ...
CHEN Jinghua +6 more
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Learning Competitive Swarm Optimization
Entropy, 2022 Particle swarm optimization (PSO) is a popular method widely used in solving different optimization problems. Unfortunately, in the case of complex multidimensional problems, PSO encounters some troubles associated with the excessive loss of population ...
Bożena Borowska
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Optimal Chiller Loading by Team Particle Swarm Algorithm for Reducing Energy Consumption
Energies, 2021 Energy saving is an important issue for multiple-chiller systems. Optimal chiller loading (OCL) in multiple-chiller systems has been investigated with many optimization algorithms to save energy.
Wen-Shing Lee +3 more
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