Heat treatment optimization for 7175 aluminum alloy by genetic algorithm

被引：39

作者：

Song, RG

Zhang, QZ

机构：

[1] AIST Hokkaido Natl Inst Adv Ind Sci & Technol, Toyohira Ku, Sapporo, Hokkaido 0628517, Japan

[2] Beijing Inst Mech Ind, Dept Automat & Control, Beijing 100095, Peoples R China

来源：

MATERIALS SCIENCE & ENGINEERING C-BIOMIMETIC AND SUPRAMOLECULAR SYSTEMS | 2001年 / 17卷 / 1-2期

关键词：

heat treatment; optimization; genetic algorithm; artificial neural network; 7175 aluminum alloy;

D O I：

10.1016/S0928-4931(01)00321-6

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

We performed a systematic experimental investigation of the effect of heat treatment on the mechanical properties of 7175 aluminum alloy. The genetic algorithm (GA) was used to search for the optimum technique for 7175 aluminum alloy based on modeling with an artificial neural network (ANN). The results strongly indicate that the artificial neural network and genetic algorithm combined offer a new and effective means for optiniizing material processing techniques. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：133 / 137

页数：5

共 8 条

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[2] SIMULATION OF GENETIC SYSTEMS [J].