R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2013

R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection

Abstract

An indicator-based evolutionary multiobjective optimization algorithm (EMOA) is introduced which incorporates the contribution to the unary R2-indicator as the secondary selection criterion. First experiments indicate that the R2-EMOA accurately approximates the Pareto front of the considered continuous multiobjective optimization problems. Furthermore, decision makers' preferences can be included by adjusting the weight vector distributions of the indicator which results in a focused search behavior.
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Dates and versions

hal-00807901 , version 1 (25-03-2014)

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Heike Trautmann, Tobias Wagner, Dimo Brockhoff. R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection. Learning and Intelligent OptimizatioN Conference (LION 7), Jan 2013, Catania, Italy. pp.70-74, ⟨10.1007/978-3-642-44973-4_8⟩. ⟨hal-00807901⟩
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