Hierarchical approach to evolutionary multi-objective optimization

被引：0

作者：

Ciepiela, Eryk ^{[1
]}

Kocot, Joanna ^{[1
]}

Siwik, Leszek ^{[1
]}

Drezewski, Rafal ^{[1
]}

机构：

[1] AGH Univ Sci & Technol, Dept Comp Sci, Krakow, Poland

来源：

COMPUTATIONAL SCIENCE - ICCS 2008, PT 3 | 2008年 / 5103卷

关键词：

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In this paper a new "hierarchical" evolutionary approach to solving multi-objective optimization problems is introduced. The results of experiments with standard multi-objective test problems, which were aimed at comparing "hierarchical" and "classical" versions of multi-objective evolutionary algorithms, show that the proposed approach is a very promising technique.

引用

页码：740 / 749

页数：10

共 9 条

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