科研之友
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摘要
The original Nelder-Mead (NM) method tends to be used to optimize low-dimensional functions. This article provides a modified NM that has the capability of large-scale optimization. The modification of NM is characterized by (a) working with a population of points, (b) mining multiple search directions through two strategies - point-grouping and variable-centroid multi-direction (VCMD), thus giving rise to VCMD plus grouping (VCMDg)
