화학공학소재연구정보센터
학회 한국화학공학회
학술대회 2004년 봄 (04/23 ~ 04/24, 공주대학교)
권호 10권 1호, p.143
발표분야 공정시스템
제목 The robustness measures for decision-making in engineering design
초록 Generally, uncertainties are considered with proper variability measures according to their characteristics (i.e. economic term or technical term). For economic robust optimization, the use of either worst-case value or partial mean as a robustness measure is proved to guarantee Pareto optimality. In this study, the comparison between worst-case value and partial mean is carried out in the viewpoint of a robustness measure. The study of the ill-conditioned natures of partial mean leads us to the conclusion that worst-case value is more reasonable for robust optimization. Furthermore, the robust optimization results with economic and technical consideration together are illustrated with the power capacity expansion model.
저자 강진수, 이태용
소속 한국과학기술원
키워드 robustness measure; worst-case value; partial mean
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