Learning Value Functions in Interactive Evolutionary Multiobjective Optimization

This paper proposes an interactive multiobjective evolutionary algorithm (MOEA) that attempts to learn a value function capturing the users' true preferences. At regular intervals, the user is asked to rank a single pair of solutions. This information is used to update the algorithm's inte...

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Bibliographic Details
Published inIEEE transactions on evolutionary computation Vol. 19; no. 1; pp. 88 - 102
Main Authors Branke, Jurgen, Greco, Salvatore, Slowinski, Roman, Zielniewicz, Piotr
Format Journal Article
LanguageEnglish
Published IEEE 01.02.2015
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