Review of Large-scale High-dimensional Feature Selection Based on Evolutionary Computation
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.
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