Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES)
作者： Nikolaus Hansen , Sibylle D Müller , Petros Koumoutsakos , None
DOI: 10.1162/106365603321828970
关键词: Covariance matrix 、 Computer science 、 Time complexity 、 Convergence (routing) 、 CMA-ES 、 Parallel algorithm 、 Evolution strategy 、 Dimension (vector space) 、 Mathematical optimization 、 Population
摘要: … evolution strategy with covariance matrix adaptation (CMA-ES). This new approach is … The original version of the CMA-ES was designed to reliably adapt the covariance matrix in …
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