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http://dx.doi.org/10.3795/KSME-A.2002.26.10.2150

Multi-objective Optimization in Discrete Design Space using the Design of Experiment and the Mathematical Programming  

Lee, Dong-Woo (동아대학교 대학원 기계공학과)
Baek, Seok-Heum (동아대학교 대학원 기계공학과)
Lee, Kyoung-Young (삼척대학교 기계정밀자동차공학부)
Cho, Seok-Swoo (삼척대학교 기계정밀자동차공학부)
Joo, Won-Sik (동아대학교 기계산업시스템공학부)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.26, no.10, 2002 , pp. 2150-2158 More about this Journal
Abstract
A recent research and development has the requirement for the optimization to shorten design time of modified or new product model and to obtain more precise engineering solution. General optimization problem must consider many conflicted objective functions simultaneously. Multi-objective optimization treats the multiple objective functions and constraints with design change. But, real engineering problem doesn't describe accurate constraint and objective function owing to the limit of representation. Therefore this study applies variance analysis on the basis of structure analysis and DOE to the vertical roller mill fur portland cement and proposed statistical design model to evaluate the effect of structural modification with design change by performing practical multi-objective optimization considering mass, stress and deflection.
Keywords
Multi-objective Optimization; Design of Experiments; Mathematical programming; Discrete Design Space; Chebyshev Orthogonal Polynomials; Vertical Roller Mill;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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