Using self organizing maps and genetic algorithms for model selection in multilevel optimization

被引：0

作者：

El-Beltagy, M ^{[1
]}

Keane, A ^{[1
]}

机构：

[1] Univ Southampton, Dept Mech Engn, Evolut Optimiz Grp, Southampton SO17 1BJ, Hants, England

来源：

MULTIPLE APPROACHES TO INTELLIGENT SYSTEMS, PROCEEDINGS | 1999年 / 1611卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In Multilevel Optimization there is usually a choice to be made between different models when carrying out design evaluations. The choice is between accurate / computationally expensive evaluations and approximate/computational cheap ones. Here, a strategy is sought for selecting between different models during the search. The focus of the paper is on preliminary work carried out using a self organizing map (SOM) for model selection.

引用

页码：137 / 144

页数：8

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