Hybrid method for multi-target parametric design

Jami J. Shah, Jian Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper examines optimization techniques for parametric design based on statistical, mathematical, and heuristic models. A hybrid method is then proposed based on the strengths of several of these approaches. The new method, called multi-target parametric design method, combines Taguchi, methodology, conventional (mathematical) optimization methods, and MANOVA statistical technique. It can be used to optimize composite utility functions, while satisfying the quality requirements. The method involves three main steps. First by applying Taguchi's method, the optimal quality is determined with a certain set of control variables. Second, these variables are transformed into variable constraints through a relaxing process. Finally, the optimization problem is solved for other design targets under these constraints, using conventional mathematical optimization methods or the Taguchi method.

Original languageEnglish (US)
Title of host publicationAdvances in Design Automation
EditorsMo Shahinpoor, H.S. Tzou
PublisherPubl by ASME
Number of pages34
ISBN (Print)0791811816
StatePublished - Dec 1 1993
Event14th Biennial Conference on Mechanical Vibration and Noise - Albuquerque, NM, USA
Duration: Sep 19 1993Sep 22 1993

Publication series

NameAmerican Society of Mechanical Engineers, Design Engineering Division (Publication) DE
Volume65 pt 1


Other14th Biennial Conference on Mechanical Vibration and Noise
CityAlbuquerque, NM, USA

ASJC Scopus subject areas

  • Engineering(all)


Dive into the research topics of 'Hybrid method for multi-target parametric design'. Together they form a unique fingerprint.

Cite this