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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [3]
长春光学精密机械与物... [1]
采集方式
OAI收割 [4]
内容类型
期刊论文 [2]
SCI/SSCI论文 [1]
会议论文 [1]
发表日期
2022 [2]
2010 [1]
2009 [1]
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Influencing factors of manufacturing agglomeration in the Beijing-Tianjin-Hebei region based on enterprise big data
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2022, 卷号: 32, 期号: 10, 页码: 2105-2128
作者:
Huang Yujin
;
Sheng Kerong
;
Sun Wei
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2022/11/09
manufacturing agglomeration
hurdle model
DO index
Beijing-Tianjin-Hebei region
Influencing factors of manufacturing agglomeration in the Beijing-Tianjin-Hebei region based on enterprise big data
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2022, 卷号: 32, 期号: 10, 页码: 2105-2128
作者:
Huang Yujin
;
Sheng Kerong
;
Sun Wei
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2022/11/09
manufacturing agglomeration
hurdle model
DO index
Beijing-Tianjin-Hebei region
Food away from home in Beijing: Effects of wealth, time and "free" meals
SCI/SSCI论文
OAI收割
2010
Bai J. F.
;
Wahl T. I.
;
Lohmar B. T.
;
Huang J. K.
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2012/06/08
Becker
Box-Cox double-hurdle estimation
Chinese food
expenditures
Food away from home
Hosted meal
away-from-home
double-hurdle model
limited dependent-variables
tobit
estimator
working wives
urban china
expenditure
consumption
robustness
allocation
Optimizing control mode of optical payloads based on multi-population genetic algorithm (EI CONFERENCE)
会议论文
OAI收割
2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009, August 9, 2009 - August 12, 2009, Changchun, China
Xu W.
;
Jin G.
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2013/03/25
Optimizing the control mode of optical payload could improve the payload's work efficiency. When the mathematic model of payload's control mode was established
optimization problems could be boiled down to seek the maximal value of the function with many variables. This paper put forward a calculational method to base the mathematic model
the calculational method was multi-population genetic algorithm (MPGA). After the 0-1 variables and real multidimensional ones had been coded separately
the algorithm established the populations independently
made the multidimensional variables as the centrosome and combined 0-1 ones to work out the maximal value of the function which was established to describe the control mode of the optical payload. Moreover
the emulational experiment had been done with the material arithmetic operators. The result indicates that the method using MPGA can hurdle the disadvantage of traditional ones which calculate slowly and get into local best value trap easily . It has the characters that not only fits large scale area scout
but also gets the best value in full scale rapidly
so this algorithm can better satisfy the technology demand for the intelligent control of optical payload. 2009 IEEE.