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Robust optimization problems are inherently multiobjective, because the designer searches for compromise solutions between the mathematical model and possible uncertainties when constructing the physical device. We propose a novel formulation that consists of the employment of a multiobjective approach for robust design. The proposed methodology is applied to two practical problems: the design of a loudspeaker and the design of a superconducting magnetic storage device. The results provide more alternatives to the decision maker, confirming the usefulness and benefit of the approach
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Guimarães et al. (2006) studied this question.
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