With the advent of the big data era, the scale and feature dimensions of data show explosive growth, which brings unprecedented challenges to data processing.Feature selection, as a key link in data preprocessing, is particularly important when processing large-scale high-dimensional data.Due to its excellent global search capabilities and efficient optimization performance, more and more researchers begin to study the evolutionary computing method, and it is widely used in large-scale high-dimensional feature selection.This paper first introduces the importance of large-scale high-dimensional data processing.Then some classic and newer evolutionary calculation methods are briefly introduced, and their applications in large-scale high-dimensional feature selection are introduced in detail.Finally, the application of evolutionary computing in large-scale high-dimensional feature selection is summarized and its future development direction is prospected.
NETL
NSTL
万方数据
