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．
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.
出处
《水利学报》
EI
CSCD
北大核心
1999年第2期23-27,共5页
Journal of Hydraulic Engineering
基金
国家自然科学基金
中国博士后科学基金
关键词
遗传算法
人工神经网络
优化
复杂工程
genetic algorithm, artificial neural networks, global optimal, complicated engineering.
