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OPTIMIZATION BASED ON LMPROVED REAL—CODED GENETIC ALGORITHM 被引量:2

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摘要 An improved real-coded genetic algorithm is pro-posed for global optimization of functionsl.The new algo-rithm is based om the judgement of the searching perfor-mance of basic real-coded genetic algorithm.The opera-tions of basic real-coded genetic algorithm are briefly dis-cussed and selected.A kind of chaos sequence is described in detail and added in the new algorithm ad a disturbance factor.The strategy of field partition is also used to im-prove the strcture of the new algorithm.Numerical ex-periment shows that the mew genetic algorithm can find the global optimum of complex funtions with satistaiting precision.
作者 ShiYu YuShenglin
出处 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2002年第1期53-58,共6页 南京航空航天大学学报(英文版)
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  • 2石琳珂.逐步缩小搜索范围的遗传算法[J].地球物理学进展,1995,10(4):67-79. 被引量:24
  • 3Elias J G.Genetic generation of connection patterns for a dynamic artificial neural network[C].In:Combinations of Genetic Algorithms and Neural Networks International Workshop, 1992-06:38~54
  • 4Fleming P J,Fonseca C M.Genetic algorithms in control systems engineering:a brief introduction[C].In:IEE Colloquium on Genetic Algorithms for Control Systems Engineering, 1993-05:1~5
  • 5Chin-chih Hsu,Shin-Ichi Yamada. A multi-operator self-tuning genetic algorithm for fuzzy control rule optimization[C].In:Proceedings of IEEE Industrial Electronics,Control and Instrumentation 22nd International Conference,vol 2,1996: 842~847
  • 6Sasaki T,Hsu C-C.A multi-operator self-tuning genetic algorithm for optimization[C].In:the 23rdIntemational Conference on Industrial Electronics, Contxol and Instrumentation,vol 3,1997:1034~1039
  • 7陈宏钧,马素敏.金属切削速查速算手册[M].北京:机械工业出版社,2001.
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