A New Fuzzy Adaptive Genetic Algorithm

被引：4
|
作者：
房磊
张焕春
经亚枝
机构：
[1] College of Automation Engineering
[2] Nanjing University of Aeronautics and Astronautics Nanjing 210016 China
来源：
Journal of Electronic Science and Technology | 2005年 / 01期
关键词：
adaptive genetic algorithm; fuzzy logic controller; dynamic parameters control; population sizes;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Multiple genetic algorithms (GAs) need a large population size, which will take a long time for evolution. A new fuzzy adaptive GA is proposed in this paper. This algorithm is more effective in global search while keeping the overall population size constant. The simulation results of function optimization show that with the proposed algorithm, the phenomenon of premature convergence can be overcome effectively, and a satisfying optimization result is obtained.
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页码：57 / 59 +71
页数：4
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