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检索条件"主题词=Improved Genetic Algorithms"
14 条 记 录,以下是11-20 订阅
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Dynamic characteristics analysis and optimization for lateral plates of the vibration screen
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JOURNAL OF VIBROENGINEERING 2015年 第4期17卷 1593-1604页
作者: Zhou, Ning Hebei Univ Key Lab Digital Med Engn Hebei Prov Coll Elect & Informat Engn Baoding 071002 Peoples R China
To solve the problem of damage due to large dynamic stress of the lateral plates during working process of the vibration screen, it is necessary to calculate and analyze natural modes and distribution of dynamic stres... 详细信息
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Optimal Sensors Placement for Health Monitoring System of Long-span Steel Truss Railway Cable-stayed Bridge  5
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5th International Symposium on Environmental Vibration (ISEV2011)
作者: Shan, Deshan Wan, Zhenhua Li, Qiao Southwest Jiaotong Univ Sch Civil Engn Bridge Engn Dept Chengdu 610031 Peoples R China
The optimal placement method of sensorsis carried out based on improved adaptive genetic algorithm for solving the optimal placementproblem of sensorsin the health monitoring systemof long-span railway bridge. Dual st... 详细信息
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improved GA Combined with GDBP Algorithm for Forecasting Releasing Behaviors of Drug Carrier
Improved GA Combined with GDBP Algorithm for Forecasting Rel...
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The 2010 IEEE International Conference on Progress in Informatics and Computing
作者: Li Mao Research Institute of Computer System,South China University of Technology Deptment of Computer Science,Guang Dong Police Officers College Guangzhou,China Deyu Qi Research Institute of Computer System,South China University of Technology Guangzhou,China Xiaoxi Li Engineering Research Center of Starch & Protein Processing,Ministry of Education, South China University of Technology Guangzhou,China
The bioadhesive drug delivery systems using satrchbased colon-targeted drug carriers have drawn great attention in the field of pharmaceutical science in resent years.A Neural Network(NN) prediction model was develope... 详细信息
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improved genetic algorithms for optimal power flow under both normal and contingent operation states
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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 1997年 第5期19卷 287-292页
作者: Lai, LL Ma, JT Energy Systems Group Dept of Electrical Electronic and Information Engineering City University London EC1V 0HB UKDept of Electrical Engineering Tokyo Metropolitan University 1-1 Minami Osawa Hachioji-shi Tokyo 192-03 Japan
This paper presents an improved genetic algorithm (IGA) to solve the problem of optimal power flow. The GA, with the dynamical hierarchy of the coding system developed in this paper, has the ability to code a large nu... 详细信息
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