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基于小波消噪变异的浮点数编码遗传算法 被引量:2

Float Code Genetic Algorithm Based on Wavelet Denoising Mutation
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摘要 在遗传算法诸多编码中,浮点数编码具有其他编码所不具备的优势。针对浮点数编码在遗传操作中所产生的噪声和其对算法性能的影响,考虑变异操作在遗传算法中的重要作用,提出基于小波消噪变异的浮点数编码遗传算法,从理论上证明小波对浮点数编码噪声的分解,用小波实现其消噪变异。实验结果表明,该方法理论上是可靠的,方法上是可行的。 In many Genetic Algorithm(GA) codes,Float Code (FC) is super to other codes in use. This paper is about which noise and its influence on GA performance are ignored by researches in genetic operation. It takes into account which mutation plays an important role of improving GA performance. Float Code Genetic Algorithm based on Wavelet denoising Mutation(FCGAWM) is proposed. Decomposing of FC noise is proved with wavelet in theory. FC denoising mutation is implemented in it. Experimental results indicate that the method is credible in theory and is feasible in technique.
作者 崔明义
出处 《计算机工程》 CAS CSCD 北大核心 2010年第2期192-193,213,共3页 Computer Engineering
基金 河南省基础与前沿技术研究计划基金资助项目(082300410100)
关键词 小波 浮点数编码 遗传算法 消噪变异 wavelet Float Code(FC) Genetic Algorithm(GA) denoising mutation
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参考文献6

  • 1Eshelman L, Schaffer J. Real-coded Genetic Algorithms and Interval Schemata[M]. San Francisco, USA: Morgan Kaufmann Publishers, 1993: 187-202.
  • 2雷德明.多维实数编码遗传算法[J].控制与决策,2000,15(2):239-241. 被引量:29
  • 3李碧,林土胜,廖亮.基于变异的紧凑遗传算法[J].计算机工程,2008,34(4):207-208. 被引量:2
  • 4Ondelettes M Y. Filtrers Miroirs en Quadrature et Traitement Numerique de L'image[M]. Hermann, Paris: Is. n.], 1992.
  • 5Φksendal B, Proske F. White Noise of Poisson Random Measures[J]. Potential Analysis, 2004, 21(4): 375-403.
  • 6Cui Mingyi. An Improved on Float-coded Genetic Algorithm Based on Wavelet Denoising Mutation[C]//Proc. of the 7th World Congress on Intelligent Control and Automation. [S.l.]: IEEE Press, 2008: 2053-2058.

二级参考文献8

  • 1刘清,廖忠,沈祖诒,王柏林.多点正交交叉的遗传算法[J].计算机工程,2005,31(24):151-152. 被引量:13
  • 2张晓缋,方浩,戴冠中.遗传算法的编码机制研究[J].信息与控制,1997,26(2):134-139. 被引量:93
  • 3Eiben A E. Parameter Control in Evolutionary Algorithms[J]. IEEE Trans. on Evol. Comput., 1999, 3(2): 124-141.
  • 4He Jun, Yao Xin. From an Individual to a Population: An Analysis of the Irst Hitting Time of Population-based Evolutionary Algorithms[J]. IEEE Trans. on Evol. Comput., 2002, 6(6): 495-511.
  • 5Potts J C, Giddens T D, Yadav S B. The Development and Evaluation of an Improved Genetic Algorithm Based on Migration and Artificial Selection[J]. IEEE Trans. on System, Man and Cybernetics, 1994, 24(1): 73-86.
  • 6Harik G R. The Compact Genetic Algorithm[J]. IEEE Trans. on Evol. Comput., 1999, 3(4): 287-297.
  • 7Ahn C W, Ramakrishna R S. Elitism-based Compact Genetic Algorithms[J]. IEEE Trans. on Evol. Comput., 2003, 7(4): 367-385.
  • 8黄晓峰,潘立登,陈标华,李成岳.实数编码遗传算法中交叉操作的效率分析[J].控制与决策,1998,13(A07):496-499. 被引量:22

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