期刊文献+

噪声环境下遗传算法的优化研究 被引量:1

The Optimized Performance Research of the Genetic Algorithm Under the Noise Environment
下载PDF
导出
摘要 针对噪声环境下遗传算法的优化识别性能,对噪声影响的实质进行了分析。提出了多采样率策略的遗传优化算法,通过优化仿真分析,能很好地消除噪声对遗传优化性能的影响。 According to the optimized recognition performance under the noise environment, the noise influenee's essence has been analyzed. The n, ulti-sampling in the algorithm optimization is proposed in this paper, and through the optimized simulation analysis, the author pointed out the multi-sampling strategy can effectively eliminate the influence of noise on the inherit optimized performance.
作者 罗江英
出处 《丽水学院学报》 2008年第5期52-54,79,共4页 Journal of Lishui University
关键词 遗传算法 缺陷 噪声 算法优化 genetic algorithm flaws noise algorithm optimization
  • 相关文献

参考文献5

  • 1周育人,李元香,王勇.一种有效的实数编码遗传算法[J].武汉大学学报(理学版),2003,49(1):39-43. 被引量:18
  • 2Atiya A,Ji C Y. How initial conditions affect generalization performance in large networks[J]. IEEE Trans Neural Networks, 1997,8 (2) :448-451.
  • 3Andrew T, et al. Adapting operator settings in genetic algorithms[J]. Evolutionary Computation, 1998,6 (2) : 163 - 184.
  • 4曹先彬,庄镇泉.一种基于遗传算法的模糊规则生成方法[J].模式识别与人工智能,1997,10(2):171-175. 被引量:9
  • 5孙增沂.智能控制理论与技术[M].北京:清华大学出版社,1997.

二级参考文献12

  • 1Chen Genshe,Proc of International Conference on Modeling、Simulation and Control,1993年
  • 2王馥棠,我国粮食产量气象预测预报研究,1989年
  • 3Back T, Hammel U, Schwefel H P. Evolutionary Computation: Comments on the History and Current State [J]. IEEE Transactions on Evolutionary Computation, 1997,1(1):3-17.
  • 4Storn R, Price K. Differential Evolution-a Fast and Efficient Heuristic for Global Optimization Over Continuous Spaces[J]. Journal of Global Optimization, 1997, 11:341-359.
  • 5Herrera F, Lozano M, Verdegay J L. Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis [J]. Artificial Intelligence Review,1998,12(4):265-319.
  • 6Deb K, Beyer H G. Self-Adaptive Genetic Algorithms with Simulated Binary Crossover [J]. Evolutionary Computation, 2001,9(2):197-221.
  • 7Ono I, Kita H, Kobayashi S. A Robust Real-Coded Genetic Algorithm Using Unimodal Normal Distribution Crossover Augmented by Uniform Crossover: Effects of Self Adaptation of Crossover Probabilities [A]. In: Banzhaf W, Daida J, Eiben E, eds. GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference[C]. San Mateo, CA: Morgan Kaufmann Press, 1999. 496-503.
  • 8Tsutsui S, Yamamura M, Higuchi T. Multi-Parent Recombination with Simplex Crossover in Real Coded Genetic Algorithms [A]. In: Banzhaf W, Daida J, Eiben E, eds. GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference[C]. San Mateo, CA: Morgan Kaufmann Press, 1999. 657-664.
  • 9Guo Tao, Kang Li-shan, Li Yan. A New Algorithm for Solving Function Optimization Problems with Inequality Constraints [J]. J Wuhan Univ(Nat Sci Ed), 1999,45(5B):771-775(Ch).
  • 10Beyer H G, Deb K. On Self-adaptive Features in Real-parameter Evolutionary Algorithms [J]. IEEE Transactions on Evolutionary Computation, 2001,5(3): 250-270.

共引文献33

同被引文献2

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部