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检索条件"主题词=particle swarm optimization algorithm"
1415 条 记 录,以下是171-180 订阅
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Seepage safety monitoring model for an earth rock dam under influence of high-impact typhoons based on particle swarm optimization algorithm
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Water Science and Engineering 2017年 第1期10卷 70-77页
作者: Yan Xiang Shu-yan Fu Kai Zhu Hui Yuan Zhi-yuan Fang Dam Safety Management Center of the Ministry of Water Resources Nanjing Hydraulic Research InstituteNanjing 210029China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Nanjing Hydraulic Research InstituteNanjing 210029China College of Mechanics and Materials Hohai UniversityNanjing 210098China School of Water Resources and Hydraulic Engineering Yunnan Agricultural UniversityKunming 650000China
Extreme hydrological events induced by typhoons in reservoir areas have presented severe challenges to the safe operation of hydraulic structures. Based on analysis of the seepage characteristics of an earth rock dam,... 详细信息
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A Novel Power Losses Reduction Method Based on a particle swarm optimization algorithm Using STATCOM
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ENERGIES 2018年 第10期11卷 2851-2851页
作者: Tuzikova, Valeriya Tlusty, Josef Muller, Zdenek Czech Tech Univ Dept Elect Power Engn Prague 16627 Czech Republic Czech Tech Univ Fac Biomed Engn Kladno 27201 Czech Republic
In the modern electric power industry, Flexible AC Transmission Systems (FACTS) have a special place. In connection with the increased interest in the development of smart energy, the use of such devices is becoming e... 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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A combined model based on seasonal autoregressive integrated moving average and modified particle swarm optimization algorithm for electrical load forecasting
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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2017年 第5期32卷 3447-3459页
作者: Ma, Tao Wang, Fen Wang, Jianzhou Yao, Yukai Chen, Xiaoyun Lanzhou Univ Sch Informat Sci & Engn 222 Tianshui South Rd Lanzhou 730000 Gansu Peoples R China Dongbei Univ Finance & Econ Sch Stat Dalian Peoples R China Ningxia Normal Univ Sch Math & Comp Sci Ningxia Peoples R China Lanzhou Univ Technol Coll Comp & Commun Lanzhou Peoples R China
Electric load prediction is an important decision tool in area of electricity economy. Recently researchers have presented innovative models to improve the forecasting accuracy of short-term electricity series, which ... 详细信息
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Using particle swarm optimization algorithm to search for a power ascension path of boiling water reactors
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ANNALS OF NUCLEAR ENERGY 2017年 第Apr.期102卷 37-46页
作者: Lin, Tzung-Yi Yeh, Jau-Tyne Kuo, Weng-Sheng Inst Nucl Energy Res Nucl Engn Div 1000 Wenhua Rd Longtan Township 32546 Taoyuan County Taiwan
During the power ascension, the operating point is based on core power, core flow, control rod pattern, and concentrations of fission product, such as xenon. The thermal limits and fuel conditioning at the operating p... 详细信息
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The optimization of Marine Diesel Engine Rotational Speed Control Process by Fuzzy Logic Control Based on particle swarm optimization algorithm
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FUTURE INTERNET 2018年 第10期10卷 99-99页
作者: Tien Anh Tran Vietnam Maritime Univ Fac Marine Engn Haiphong 180000 Vietnam
The marine main diesel engine rotational speed automatic control plays a significant role in determining the optimal main diesel engine speed under impacting on navigation environment conditions. In this article, the ... 详细信息
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Using the particle swarm optimization algorithm to calibrate the parameters relating to the turbulent flux in the surface layer in the source region of the Yellow River
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AGRICULTURAL AND FOREST METEOROLOGY 2017年 232卷 606-622页
作者: Yang, Qidong Wu, Jian Li, Yueqing Li, Weidong Wang, Lijuan Yang, Yang Yunnan Univ Dept Atmospher Sci Kunming 650091 Yunnan Province Peoples R China China Meteorol Adm Inst Plateau Meteorol Chengdu 610000 Sichuan Provinc Peoples R China China Meteorol Adm Inst Arid Meteorol Key Open Lab Arid Climat Change & Disaster Reduct Gansu Key Lab Arid Climat Change & Reducing Disas Wuhan 730020 Gansu Peoples R China
Accurately determining the fluxes of mass and energy between land and the atmosphere is important for understanding regional climates and hydrological cycles. In numerical modeling, the parameterization of a turbulent... 详细信息
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A particle swarm optimization algorithm with Time Varying Parameters
A Particle Swarm Optimization Algorithm with Time Varying Pa...
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第30届中国控制与决策会议
作者: Zhen Hu Dexuan Zou Zhi Kong Xin Shen School of Electrical Engineering and Automation Jiangsu Normal University School of Electrical Engineering and Automation Northeastern University at Qinhuangdao
A particle swarm optimization(TVPSO) algorithm with time varying parameters is proposed to improve the performance of particle swarm optimization(PSO) algorithm by two improvements. Aiming at the fact general PSO algo... 详细信息
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An improved multi-objective particle swarm optimization algorithm and its application in vehicle scheduling
An improved multi-objective particle swarm optimization algo...
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Chinese Automation Congress (CAC)
作者: Xu, Wenxing Wang, Wanhong He, Qian Liu, Cai Zhuang, Jun Beijing Inst Petrochem Technol Dept Automat Beijing Peoples R China SUNY Buffalo Dept Ind & Syst Engn Buffalo NY USA
Due to the lack of diversity of the initial population, the multi-objective particle swarm optimization algorithm easily falls into the local optimal value during the iterative process. The method of piecewise logisti... 详细信息
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AN IMPROVED ADAPTIVE PROPAGATION CHAOTIC particle swarm optimization algorithm BASED ON IMMUNE SELECTION  16
AN IMPROVED ADAPTIVE PROPAGATION CHAOTIC PARTICLE SWARM OPTI...
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International Conference on Machine Learning and Cybernetics (ICMLC)
作者: Huang, Ke Zhang, Haolan Wang, Yiwen Yu, Changbin Zhejiang Univ Ningbo Inst Technol Ningbo 315100 Zhejiang Peoples R China
The particle swarm optimization algorithm is improved by introducing the immune selection, adaptive propagation, multi-population evolution. An improved adaptive propagation chaotic particle swarm optimization algorit... 详细信息
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