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• W2471275148 abstract "We focus on a variant of covariance matrix adaptation evolution strategy (CMA-ES) with a restricted covariance matrix model, namely VkD-CMA, which is aimed at reducing the internal time complexity and the adaptation time in terms of function evaluations. We tackle the shortage of the VkD-CMA—the model of the restricted covariance matrices needs to be selected beforehand. We propose a novel mechanism to adapt the model online in the VkD-CMA. It eliminates the need for advance model selection and leads to a performance competitive with or even better than the algorithm with a nearly optimal but fixed model." @default.
• W2471275148 created "2016-07-22" @default.
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• W2471275148 date "2016-01-01" @default.
• W2471275148 modified "2023-10-15" @default.
• W2471275148 title "Online Model Selection for Restricted Covariance Matrix Adaptation" @default.
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• W2471275148 doi "https://doi.org/10.1007/978-3-319-45823-6_1" @default.
• W2471275148 hasPublicationYear "2016" @default.
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