中国科学院机构知识库网格
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Application of SVR models built with AOA and Chaos mapping for predicting tunnel crown displacement induced by blasting excavation 期刊论文  OAI收割
APPLIED SOFT COMPUTING, 2023, 卷号: 147, 页码: 18
作者:  
Li, Chuanqi;  Mei, Xiancheng
  |  收藏  |  浏览/下载:1/0  |  提交时间:2025/06/27
An Improved Arithmetic Optimization Algorithm and Its Application to Determine the Parameters of Support Vector Machine 期刊论文  OAI收割
MATHEMATICS, 2022, 卷号: 10, 期号: 16, 页码: 20
作者:  
Fang, Heping;  Fu, Xiaopeng;  Zeng, Zhiyong;  Zhong, Kunhua;  Liu, Shuguang
  |  收藏  |  浏览/下载:23/0  |  提交时间:2022/10/14
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:26/0  |  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.