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遗传算法的原理与应用
引用本文:李华昌 谢淑兰 易忠胜. 遗传算法的原理与应用[J]. 矿冶, 2005, 14(1): 87-90
作者姓名:李华昌 谢淑兰 易忠胜
作者单位:北京矿冶研究总院,北京,100044;桂林工学院材料与化学工程系,广西桂林,541004
摘    要:遗传算法是基于自然界生物进化基本法则而发展起来的一类新算法。本文在简要介绍遗传算法的起源与发展、算法原理的基础上,对算法在优化、拟合与校正、结构分析与图谱解析、变量选择、与其他算法的联用等方面的应用进行了综述。该算法由于无需体系的先验知识,是一种全局最优化方法,能有效地处理复杂的非线性问题,因此有着广阔的应用前景。

关 键 词:遗传算法  化学计量学  优化
文章编号:1005-7854(2005)01-0087-04
修稿时间:2004-08-20

THEORY AND APPLICATION OF GENETIC ALGORITHM
LI Hua-chang~,XIE Shu-lan~,YI Zhong-sheng~. THEORY AND APPLICATION OF GENETIC ALGORITHM[J]. Mining & Metallurgy, 2005, 14(1): 87-90
Authors:LI Hua-chang~  XIE Shu-lan~  YI Zhong-sheng~
Affiliation:LI Hua-chang~1,XIE Shu-lan~1,YI Zhong-sheng~2
Abstract:Genetic Algorithm(GA)is a kind of recursive computational procedure based on the simulation of principle principles of evaluation of living organisms in nature.Based on brief introduction of the principle,the beginning and development of the algorithms,the paper reviewed its applications in the fields of optimization,fitting and calibration,structure analysis and spectra interpretation,variable selection,and its usage in combination with others.The application of GA needs no initiating knowledge of the system,and therefore,is a comprehensive optimization method with extensive application in terms of processing complex non-linear problems.
Keywords:Genetic Algorithm(GA)  Chemometrics  Optimization
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