Access the full text.
Sign up today, get DeepDyve free for 14 days.
Stephanie Forrest (1996)
Genetic algorithmsACM Comput. Surv., 28
S. Hadjihassan, E. Walter, L. Pronzato (1996)
Quality Improvement via Optimization of Tolerance Intervals During the Design Stage
D. Quagliarella (1998)
Genetic algorithms and evolution strategy in engineering and computer science : recent advances and industrial applications
Jeffrey Horn, Nicholas Nafpliotis (1993)
Multiobjective Optimization Using the Niched Pareto Genetic Algorithm
R. Bargmann, M. Tatsuoka, P. Lohnes (1989)
Multivariate Analysis (Techniques for Educational and Psychological Research), 14
H.L. Abdel-Malek, A.S.O. Hassan (1991)
The ellipsoidal technique for design centering and region approximationIEEE Transactions on Computer-Aided Design, 10
V. Chankong (1983)
Large-Scale Systems: Theory and Applications, 5
H. Abdel-Malek, Abdel-Karim Hassan (1989)
The ellipsoidal technique for design centering and region approximationIEEE International Symposium on Circuits and Systems,
R. Mason (1994)
Taguchi Methods: A Hands-On ApproachJournal of Quality Technology, 26
M. Phadke (1989)
Quality Engineering Using Robust Design
D. Heiss-Czedik (1997)
An Introduction to Genetic Algorithms.Artificial Life, 3
A. Osyczka (1985)
7 – Multicriteria optimization for engineering design
N. Srinivas, K. Deb (1994)
Muiltiobjective Optimization Using Nondominated Sorting in Genetic AlgorithmsEvolutionary Computation, 2
S. Tsutsui, Ashish Ghosh (1997)
Genetic algorithms with a robust solution searching schemeIEEE Trans. Evol. Comput., 1
A. Dhingra, B. Lee (1994)
A genetic algorithm approach to single and multiobjective structural optimization with discrete–continuous variablesInternational Journal for Numerical Methods in Engineering, 37
H.L. Abdel-Malek (1991)
The ellipsoidal technique for design centering and region approximationIEEE Transactions on Computer-Aided Design, 10
J. Krottmaier (1993)
Optimizing Engineering Designs
P. Hajela, C. Shih (1989)
Multiobjective optimum design in mixed integer and discrete design variable problemsAIAA Journal, 28
M. Bilodeau, D. Brenner (1999)
Theory of multivariate statistics
A. Ameljanczyk (1994)
Multicriteria Optimization in Engineering Design
Arun Kunjur, S. Krishnamurty (1997)
A robust multi-criteria optimization approachMechanism and Machine Theory, 32
Rodney Loudon (1973)
Nature's AllograftNature, 242
(1983)
Optimization-based methods for multiobjective decision making: An overview,
D. Fogel (1997)
An introduction to genetic algorithms: Melanie Mitchell. MIT Press, Cambridge MA, 1996. $30.00 (cloth), 270 ppBulletin of Mathematical Biology, 59
Melanie Mitchell (1996)
An introduction to genetic algorithms
C. Fonseca, P. Fleming (1993)
Multiobjective genetic algorithms
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.
Applied Intelligence – Springer Journals
Published: Oct 1, 2004
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.