Survey of Evolutionary Algorithms Used in Multiobjective Optimization

Survey of Evolutionary Algorithms Used in Multiobjective Optimization

The evolutionary multi-objective optimization (EMOO) is a popular and useful field of research and developing algorithms to solve many real-life multiobjective problems (see for example [6, 18, 38]). During the World Congress of Computational Intelligence (WCCI) in Vancouver 2006, EMOO has been eval...

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Veröffentlicht in:Problemi na tekhnicheskata kibernetika i robotikata 2009-01 (60), p.42-54
Hauptverfasser: Guliashki, Vassil, Toshev, Hristo, Korsemov, Chavdar
Format: Artikel
Sprache:eng
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Zusammenfassung:The evolutionary multi-objective optimization (EMOO) is a popular and useful field of research and developing algorithms to solve many real-life multiobjective problems (see for example [6, 18, 38]). During the World Congress of Computational Intelligence (WCCI) in Vancouver 2006, EMOO has been evaluated as one of the three fastest growing fields of research and application among all computational intelligence topics.
ISSN:0204-9848