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Published in 2017 at "Memetic Computing"
DOI: 10.1007/s12293-016-0202-5
Abstract: The covariance matrix adaptation evolution strategy (CMA-ES) is one of the state-of-the-art evolutionary algorithms for optimization problems with continuous representation. It has been extensively applied to single-objective optimization problems, and different variants of CMA-ES have…
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Keywords:
information;
multi objective;
transfer weight;
weight functions ... See more keywords