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TitleEvolutionary robustness analysis for multi-objective optimization : benchmark problems
Author(s)Gaspar-Cunha, A.
Ferreira, José C.
Recio, Gustavo
Multi-objective optimization
Test problems
Issue date2014
JournalStructural and Multidisciplinary Optimization
Abstract(s)This paper presents a new approach to robustness analysis in multi-objective optimization problems aimed at obtaining the most robust Pareto front solutions and distributing the solutions along the most robust regions of the optimal Pareto set. A new set of test problems accounting for the different types of robustness cases is presented in this study. Non-dominated solutions are classified according to their degree of robustness and are distributed along the Pareto front according to specific algorithm parameter values. Verification of the proposed method is carried out using the developed test problems and artificial and real world benchmark test problems present in the literature.
DescriptionPublished online: 26 October 2013
Publisher version
AccessRestricted access (UMinho)
Appears in Collections:IPC - Artigos em revistas científicas internacionais com arbitragem

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