中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Optimizing control mode of optical payloads based on multi-population genetic algorithm (EI CONFERENCE)

文献类型:会议论文

作者Xu W. ; Jin G.
出版日期2009
会议名称2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009, August 9, 2009 - August 12, 2009
会议地点Changchun, China
关键词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.
页码1991-1995
收录类别EI
源URL[http://ir.ciomp.ac.cn/handle/181722/33110]  
专题长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式
GB/T 7714
Xu W.,Jin G.. Optimizing control mode of optical payloads based on multi-population genetic algorithm (EI CONFERENCE)[C]. 见:2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009, August 9, 2009 - August 12, 2009. Changchun, China.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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