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噪声环境下的遗传算法 被引量：2

A genetic algorithm in noisy environment
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摘要 针对噪声环境下遗传算法解的选取问题提出一种新方法 ,在此基础之上结合多次采样方法就能够很好地解决遗传算法中的噪声问题。该方法只需增加很少的计算量 ,就可以获得较为满意的优化解。最后将文中方法与最优列表遗传算法相比较 ,采用高斯噪声模拟噪声环境 ,通过函数优化问题来说明该算法的有效性。 An effective method for obtaining the optimal solution was proposed, which combined with statistical sampling provided a more consistent and accurate optimized solution even in noisy environment. Two simulations of function optimization were given, which illustrated the validity of this method through comparing with optimal solution list GA.
作者 王晶 江弘 杨建军
机构地区 北京化工大学信息科学与技术学院 清华大学自动化系CIMS中心
出处 《北京化工大学学报（自然科学版）》 CAS CSCD 2004年第1期95-98,共4页 Journal of Beijing University of Chemical Technology(Natural Science Edition)
关键词 噪声环境 遗传算法 个体保留 函数优化 noisy environment genetic algorithm individual record function optimization
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
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参考文献7

  • 1[1]Hans-Georg B. Evolutionary algorithms in noisy environments: theoretical issues and guidelines for practice[J]. Computer Methods in Applied Mechanics and Engineering, 2000, 186: 239-267
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同被引文献17

  • 1郭彦.对柯西分布性质的进一步讨论[J].淮阴工学院学报,2005,14(5):8-9. 被引量：5
  • 2Arnold D V,Beyer H-G.A general noise model and its effects on evolution strategy performance[J].IEEE Transactions on Evolutionary Computation, 2006,10(4 ) : 380-391.
  • 3Fitzpatrick J M,Grenfenstette J J.Genetic algorithms in noisy environments[J].Machine Learning:Speical Issue on Genetic Algorithms, 1988(3 ) : 101-120.
  • 4Arnold D V,Beyer H-G.Local performance of the (1+1)-ES in a noisy environment[J].IEEE Trans Evol Comput, 2002,6( 1 ) : 30-41.
  • 5Arnold D V,Beyer H-G.Local performance of the (μ/μ1,λ)-ES in a noisy environment [M].San Francisco, CA: Morgan Kaufmann, 2001 : 127-141.
  • 6Arnold D V,Beyer H-G.Efficiency and self-adaptation of the (μ/μ1,λ)-ES in a noisy environment[M].Heidelberg,Germany:SpringerVerlag, 2000 : 39-48.
  • 7Arnold D V, Beyer H-G.A comparison of evolution strategies with other direct search methods in the presence of noise [J].Comput Optim, 2003,24 ( 1 ) : 135 - 159.
  • 8Fitzpatrick J M,Grenfenstette J J.Genetic algorithms in noisy environments [M]. Machine Learning: Kluwer Academic Publishers,1998:101-120.
  • 9Arnold D V. Noisy optimization with evolution strategies [C].Genetic Algorithms and Evolutionary Computation. Norwell, Ma:Kluwer,2002.
  • 10Amold D V, Beyer H-G.Local performance of the (1+1)-ES in a noisy environment[C].IEEE Trans Evol Comput,2002:30-41.

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北京化工大学学报（自然科学版）
2004年 第1期

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