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A Genetic Algorithm for Multiobjective Robust Design

A Genetic Algorithm for Multiobjective Robust Design 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Intelligence Springer Journals

A Genetic Algorithm for Multiobjective Robust Design

Applied Intelligence , Volume 12 (3) – Oct 1, 2004

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References (27)

Publisher
Springer Journals
Copyright
Copyright © 2000 by Kluwer Academic Publishers
Subject
Computer Science; Artificial Intelligence (incl. Robotics); Mechanical Engineering; Manufacturing, Machines, Tools
ISSN
0924-669X
eISSN
1573-7497
DOI
10.1023/A:1008356321921
Publisher site
See Article on Publisher Site

Abstract

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.

Journal

Applied IntelligenceSpringer Journals

Published: Oct 1, 2004

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