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Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-015-1955-3
Abstract: The performance of most existing multiobjective evolutionary algorithms deteriorates severely in the face of many-objective problems. Many-objective optimization has been gaining increasing attention, and many new many-objective evolutionary algorithms (MaOEA) have recently been proposed. On…
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Keywords:
objective evolutionary;
many objective;
different maoeas;
objective problems ... See more keywords