111 実用性を考慮したロバスト性・信頼性手法を用いた最適化
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概要
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This paper describes robustness and reliability based optimization considering practicality. Monte Carlo is well known as estimation method of robustness and reliability. However it is difficult to use in actual design field, because it needs many calculations for steady value. Therefore the number of calculation that Monte Carlo requires to get steady value is found out. Then this method is compared with other methods on accuracy that need less number of calculations. Those methods are FOSM, Linear model MC for robustness, and FORM, SORM, FORM+ILHS for reliability. (All methods are available in PIDO tool OPTIMUS.) Finally an optimization example is explained by applying efficient method in OPTIMUS.
- 2008-11-26