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检索条件"主题词=particle Swarm Optimization algorithm"
1413 条 记 录,以下是61-70 订阅
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Design of Zero-Differential Steering Controller for Tracked Vehicles With Hydraulic-Mechanical Transmission Based on particle swarm optimization algorithm
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IEEE ACCESS 2023年 11卷 32187-32200页
作者: Jia, Weijian Liu, Xixia Zhang, Chuanqing Qiu, Mianhao Tan, Yongying Yu, Zhang Army Acad Armored Forces Beijing 100072 Peoples R China Beijing Special Engn & Design Inst Beijing 100028 Peoples R China
The handling stability of tracked vehicles not only affects the handling convenience of drivers but is also an important part of vehicle active safety. A zero-differential steering controller for tracked vehicles with... 详细信息
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An Improved particle swarm optimization algorithm for Bayesian Network Structure Learning via Local Information Constraint
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IEEE ACCESS 2021年 9卷 40963-40971页
作者: Liu, Kun Cui, Yani Ren, Jia Li, Peiran Hainan Univ Sch Informat & Commun Engn Haikou 570228 Hainan Peoples R China
At present, in the application of Bayesian network (BN) structure learning algorithm for structure learning, the network scale increases with the increase of number of nodes, resulting in a large scale of structure se... 详细信息
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Evaluation of multi-objective inverse heat conduction problem based on particle swarm optimization algorithm, normal distribution and finite element method
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INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER 2018年 第PartA期127卷 1114-1127页
作者: Wang, Xiaowei Li, Huiping He, Lianfang Li, Zhichao Shandong Univ Sci & Technol Sch Mat Sci & Engn 579 Qianwangang Rd Qingdao 266590 Shandong Peoples R China
The boundary heat transfer coefficient (BHTC) and thermal conductivity are the most essential thermal physical parameters, which have a significant effect on the calculation accuracy of physical fields in the numerica... 详细信息
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QSAR modeling of peptide biological activity by coupling support vector machine with particle swarm optimization algorithm and genetic algorithm
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JOURNAL OF MOLECULAR GRAPHICS & MODELLING 2010年 第2期29卷 188-196页
作者: Zhou, Xuan Li, Zhanchao Dai, Zong Zou, Xiaoyong Sun Yat Sen Univ Sch Chem & Chem Engn Guangzhou 510275 Guangdong Peoples R China Guangdong Pharmaceut Univ Sch Pharm Guangzhou 510006 Guangdong Peoples R China
A novel method coupling particle swarm optimization algorithm (PSO) and genetic algorithm (GA) was proposed to optimize simultaneously the kernel parameters of support vector machine (SVM) and determine the optimized ... 详细信息
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Performance of A Circular Crossed-Dipole Array for SDMA Configuration Adopting Directivity and Polarization Control Using particle swarm optimization algorithm
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INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING 2009年 第1期19卷 50-59页
作者: Mahmoud, K. R. Bansal, R. El-Adawy, M. I. Zainud-Deen, S. H. Ibrahem, Sabry M. M. Helwan Univ Fac Engn Dept Elect Commun & Comp Cairo Egypt Univ Connecticut Dept Elect & Comp Engn Storrs CT USA Menoufia Univ Fac Elect Engn Dept Elect & Elect Commun Engn Menoufia Egypt
In this article, the performance of a circular crossed-dipole array (CCDA) for space division multiple access (SDMA) configurations adopting directivity and polarization control is presented. The array consists of 12 ... 详细信息
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Trajectory planning of a redundant planar manipulator based on joint classification and particle swarm optimization algorithm
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MULTIBODY SYSTEM DYNAMICS 2020年 第1期50卷 25-43页
作者: Yu, Luchuan Wang, Kaiqiang Zhang, Qinhe Zhang, Jianhua Shandong Univ Minist Educ Peoples Republ China Key Lab High Efficiency & Clean Mech Mfg Jinan Shandong Peoples R China Shandong Univ Natl Demonstrat Ctr Expt Mech Engn Educ Jinan Shandong Peoples R China Shandong Univ Sch Mech Engn Jinan Shandong Peoples R China
This paper presents a general method for the trajectory planning of the redundant planar manipulator. The mathematical relation between joint space and Cartesian space in a two-dimensional space is first derived. The ... 详细信息
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Prediction and modeling of mechanical properties in fiber reinforced self-compacting concrete using particle swarm optimization algorithm and artificial neural network
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CONSTRUCTION AND BUILDING MATERIALS 2016年 119卷 277-287页
作者: Mashhadban, Hadi Kutanaei, Saman Soleimani Sayarinejad, Mohammad Ali Saroyeh Univ Dept Civil Engn POB 404 Sari Iran Islamic Azad Univ Qaemshahr Branch Young Researchers & Elite Club Qaemshahr Iran Islamic Azad Univ Dept Civil Engn Qaemshahr Iran
Intelligence system is a field of computer science that designs and studies efficient computational methods for solving problem. The purpose of present study is to investigate the effects of fibers on the performance ... 详细信息
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An application of particle swarm optimization algorithm to clustering analysis
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SOFT COMPUTING 2011年 第3期15卷 533-542页
作者: Kuo, R. J. Wang, M. J. Huang, T. W. Natl Taiwan Univ Sci & Technol Dept Ind Management Taipei 106 Taiwan Natl Taipei Univ Technol Dept Ind Engn & Management Taipei 106 Taiwan
particle swarm optimization algorithm (PSOA), which maintains a population of particles, where each particle represents a potential solution to an optimization problem, is a population-based stochastic search process.... 详细信息
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Hybrid particle swarm optimization algorithm for text feature selection problems
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NEURAL COMPUTING & APPLICATIONS 2024年 第13期36卷 7471-7489页
作者: Nachaoui, Mourad Lakouam, Issam Hafidi, Imad Natl Sch Appl Sci ENSA Khouribga 25000 Morocco Univ Sultan Moulay Slimane Fac Sci & Tech Equipe Math & Interact Beni Mellal Morocco
Feature selection (FS) is a crucial preprocessing step that aims to eliminate irrelevant and redundant features, reduce the dimensionality of the feature space, and enhance clustering efficiency and effectiveness. FS ... 详细信息
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A Hybrid algorithm Based on Gravitational Search and particle swarm optimization algorithm to Solve Function optimization Problems
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ENGINEERING LETTERS 2017年 第1期25卷 22-29页
作者: Wang, Jie-Sheng Song, Jiang-Di Univ Sci & Technol Liaoning Sch Elect & Informat Engn Anshan 114051 Peoples R China Univ Sci & Technol Liaoning Natl Financial Secur & Syst Equipment Engn Res Ct Anshan Peoples R China
Gravitational search algorithm (GSA) is a swarm intelligence heuristic optimization algorithm based on the law of gravitation. Aiming at the disadvantage of poor local search ability and slow convergence speed in stan... 详细信息
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