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求解复杂工程优化问题的一种实用方法
引用本文:肖专文,徐日庆,龚晓南.求解复杂工程优化问题的一种实用方法[J].水利学报,1999(2):23-27.
作者姓名:肖专文  徐日庆  龚晓南
作者单位:浙江大学岩土工程研究所,杭州,310027
基金项目:国家自然科学基金,中国博士后科学基金
摘    要:本文将遗传算法与神经网络相结合,构成GA-ANN法,协同求解复杂工程中的优化问题.该法既利用了神经网络的非线性映射、网络推理和预测的功能,又利用了遗传算法的全局优化特性,可广泛地应用于目标函数难以用决策变量的显函数形式来表达的众多复杂工程问题中.

关 键 词:遗传算法,人工神经网络,全局优化,复杂工程

A practical method for solving the optimal problems in complicated engineering
Xiao Zhuanwen,Xu Riqing,Gong Xiaonan.A practical method for solving the optimal problems in complicated engineering[J].Journal of Hydraulic Engineering,1999(2):23-27.
Authors:Xiao Zhuanwen  Xu Riqing  Gong Xiaonan
Affiliation:Zhejiang University
Abstract:A practical method by combining GA with ANN is used to solve the optimal problems in complicated engineering.The method used not only the nonlinear mapping,network reasoning and prediction of neural networks but also the global optimal characteristics of genetic algorithm.It can be widely used to solve various complicated engineering problems that target functions can't be expressed by apparent functions of decisive variables.
Keywords:genetic algorithm  artificial neural networks  global optimal  complicated engineering  
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