Potential Based Clouds in Robust Design Optimization

Potential based clouds in robust design optimization

Robust design optimization methods applied to real life problem face some major difficulties: how to deal with the estimation of probability densities when data are sparse, how to cope with high dimensional problems and how to use valuable information in the form of unformalized expert knowledge. In this paper we introduce in detail the clouds formalism as means to process available uncertainty...

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Autonomous robust design optimization with potential clouds

The task of autonomous and robust design cannot be regarded as a single task, but consists of two tasks that have to be accomplished concurrently. First, the design should be found autonomously; this indicates the existence of a method which is able to find the optimal design choice automatically. Second, the design should be robust; in other words: the design should be safeguarded against unce...

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Autonomous robust design optimisation with potential clouds

The task of autonomous and robust design cannot be regarded as a single task, but consists of two tasks that have to be accomplished concurrently. First, the design should be found autonomously; this indicates the existence of a method which is able to find the optimal design choice automatically. Second, the design should be robust; in other words, the design should be safeguarded against unce...

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Handling Uncertainty in Higher Dimensions with Potential Clouds towards Robust Design Optimization

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Uncertainty modeling with clouds in autonomous robust design optimization

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Potential Based Clouds in Robust Design Optimization

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