A Genetic Algorithm for Multiobjective Robust Design

被引：0
|
作者：
B. Forouraghi
机构：
[1] Saint Joseph's University,Computer Science Department
来源：
Applied Intelligence | 2000年 / 12卷
关键词：
genetic algorithms; noninferior; robust design; Taguchi method; S/N ratio;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The goal of robust design is to develop stable products that exhibit minimum sensitivity to uncontrollable variations. The main drawback of many quality engineering approaches, including Taguchi's ideology, is that they cannot efficiently handle presence of several often conflicting objectives and constraints that occur in various design environments.
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页码：151 / 161
页数：10
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