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遗传算法在Lorentz型重叠峰分解中的尝试
引用本文:沈晴,张立云,顾学文,郭文刚,李唐宁.遗传算法在Lorentz型重叠峰分解中的尝试[J].价值工程,2011,30(4):208-208.
作者姓名:沈晴  张立云  顾学文  郭文刚  李唐宁
作者单位:军事交通学院基础部理化教研室,天津,300161
摘    要:遗传算法作为一种鲁棒性很强的优化方法,由于不依赖于问题的具体领域,因此广泛应用于很多学科,在重叠峰信号的分解中也被越来越多的讨论和尝试。本文从分析计算机模拟Lorentz重叠峰入手,介绍遗传算法程序的设计、流程及数据分析等过程,并在遗传算法的改进方面作出了一些尝试。

关 键 词:遗传算法  Lorentz重叠峰

The Attempt of Genetic Algorithm in Decomposition of Lorentz Overlapping Peaks
Shen Qing;Zhang Liyun;Gu Xuewen Guo Wen’gang;Li Tangning.The Attempt of Genetic Algorithm in Decomposition of Lorentz Overlapping Peaks[J].Value Engineering,2011,30(4):208-208.
Authors:Shen Qing;Zhang Liyun;Gu Xuewen Guo Wen’gang;Li Tangning
Institution:Shen Qing;Zhang Liyun;Gu Xuewen Guo Wen’gang;Li Tangning(Teaching and Research Section of Physics and Chemistry,Department of Basic,Institute of Military Traffic,Tianjin 300161,China)
Abstract:Since the problems do not depend on the specific areas,Genetic Algorithm as a method of strong robustness is widely used in many subjects and it is more and more discussed and tried in the decomposition of overlapping peaks.This thesis introduced processes of design,process and data analysis of Genetic Algorithm program and made several attempts in improvements of Genetic Algorithm from analyzing Lorentz overlapping peaks of computer simulation.
Keywords:Genetic Algorithm  Lorentz overlapping peaks
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