Robust optimization: Difference between revisions

Revision as of 17:30, 9 October 2010

Revision as of 17:35, 9 October 2010

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In another effort and in one of the '''non-probabilistic''' models, Erfani and Utyuzhnikov <ref> Tohid Erfani and Sergei Utyuzhnikov. Handling Uncertainty and Finding Robust Pareto Frontier in Multiobjective Optimization Using Fuzzy Set Theory. 51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference et al, Orlando, Florida, 2010 </ref>, use the fuzzy variables in order to quantify the uncertainties within the design parameters. They introduce a Robust measure in contxtcontext of [[multiobjective optimization]] to find the robust [[Pareto optimal]] solutions.

== Probabilistic robust optimization models ==