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Sensitivity Analysis Applied to Decision Making in Multiobjective Evolutionary Optimization

Abstract : The result of a multiobjective evolutionary optimization is an efficient solution set surrounded by other candidate solution points. To choose a final solution, we can perform a sensitivity study. Applying this methodology, disturbances that occur in real-world design problems are not neglected. This paper presents an easy way to perform the sensitivity analysis directly from the data generated from a multiobjective stochastic optimization process. No additional function evaluation is required. As an example, we have solved some optimization problems concerning electromagnetic devices.
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Submitted on : Saturday, November 4, 2006 - 6:24:17 PM
Last modification on : Tuesday, March 30, 2021 - 4:20:03 PM
Long-term archiving on: : Tuesday, April 6, 2010 - 6:35:07 PM



Sergio Avila, A.C. Lisboa, Laurent Krähenbühl, Walter Carpes, Joao Vasconcelos, et al.. Sensitivity Analysis Applied to Decision Making in Multiobjective Evolutionary Optimization. IEEE Transactions on Magnetics, Institute of Electrical and Electronics Engineers, 2006, 42 (4), pp.1103-1106. ⟨10.1109/TMAG.2006.871447⟩. ⟨hal-00111247⟩



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