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长春光学精密机械与物... [1]
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Optimal Design of Fuzzy-AGC Based on PSO & RCGA to Improve Dynamic Stability of Interconnected Multi-area Power Systems
期刊论文
OAI收割
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 599-609
作者:
Ali Darvish Falehi
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收藏
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浏览/下载:29/0
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提交时间:2021/02/22
Power system dynamic stability
fuzzy logic automatic generation control (FLAGC)
particle swarm optimization (PSO)
real coded genetic algorithm (RCGA)
simultaneous coordination scheme.
湖泊水质模型SALMO改进及参数优化
学位论文
OAI收割
硕士, 北京: 中国科学院研究生院, 2012
郭静
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浏览/下载:74/0
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提交时间:2014/05/06
水质模型
SALMO
实码遗传算法
梅梁湾
富营养化
water quality model
SALMO
real coded genetic algorithm
Meiliang Bay
Eutrophication
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.
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浏览/下载:30/0
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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.