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

실험계획법과 수리적방법을 이용한 이산설계 공간에서의 다목적 최적설계

  • 이동우 (동아대학교 대학원 기계공학과) ;
  • 백석흠 (동아대학교 대학원 기계공학과) ;
  • 이경영 (삼척대학교 기계정밀자동차공학부) ;
  • 조석수 (삼척대학교 기계정밀자동차공학부) ;
  • 주원식 (동아대학교 기계산업시스템공학부)
  • Published : 2002.10.01


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.


Multi-objective Optimization;Design of Experiments;Mathematical programming;Discrete Design Space;Chebyshev Orthogonal Polynomials;Vertical Roller Mill


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