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检索条件"主题词=Particle swarm optimization algorithm"
1428 条 记 录,以下是171-180 订阅
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An Automatic Functional Coverage for Digital Systems Through a Binary particle swarm optimization algorithm with a Reinitialization Mechanism
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JOURNAL OF ELECTRONIC TESTING-THEORY AND APPLICATIONS 2017年 第4期33卷 431-447页
作者: Martinez-Cruz, Alfonso Barron-Fernandez, Ricardo Molina-Lozano, Heron Ramirez-Salinas, Marco-Antonio Villa-Vargas, Luis-Alfonso Cortes-Antonio, Prometeo Cheng, Kwang-Ting (Tim) Ctr Res Comp CIC IPN Mexico City 07738 DF Mexico Univ Calif Santa Barbara Elect & Comp Engn Dept Santa Barbara CA 93106 USA
At present, functional verification represents the most expensive part of the digital systems design. Moreover, different problems such as: clock synchronization, code compatibility, simulation automation, new design ... 详细信息
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Effects of Random Values for particle swarm optimization algorithm
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algorithmS 2018年 第2期11卷
作者: Dai, Hou-Ping Chen, Dong-Dong Zheng, Zhou-Shun Cent South Univ Sch Math & Stat Changsha 410083 Hunan Peoples R China Jishou Univ Sch Math & Stat Jishou 416000 Peoples R China State Key Lab High Performance Complex Mfg Changsha 410083 Hunan Peoples R China
particle swarm optimization (PSO) algorithm is generally improved by adaptively adjusting the inertia weight or combining with other evolution algorithms. However, in most modified PSO algorithms, the random values ar... 详细信息
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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
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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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 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
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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