机构

• 长春光学精密机械与物... [1]
• 大连化学物理研究所 [1]

采集方式

• OAI收割 [2]

内容类型

• 会议论文 [1]
• 期刊论文 [1]

发表日期

• 2017 [1]
• 2009 [1]

学科主题

筛选

浏览/检索结果: 共2条，第1-2条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Structure and Electronic Properties of Interface-Confined Oxide Nanostructures 期刊论文  OAI收割 ACS NANO, 2017, 卷号: 11, 期号: 11, 页码: 11449-11458 作者:  Chen, Hao;  Liu, Ping;  Bao, Xinhe;  Yang, Fan;  Liu, Yun   |  收藏  |  浏览/下载：42/0  |  提交时间：2019/06/20 Feo Nanostructures  Scanning Tunneling Microscopy  Strong Metal-oxide Interaction  Interfacial Confinement  Local Work Function  Local Density Of States   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.