2024
DOI: 10.3390/biomimetics9090572
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MSBWO: A Multi-Strategies Improved Beluga Whale Optimization Algorithm for Feature Selection

Zhaoyong Fan,
Zhenhua Xiao,
Xi Li
et al.

Abstract: Feature selection (FS) is a classic and challenging optimization task in most machine learning and data mining projects. Recently, researchers have attempted to develop more effective methods by using metaheuristic methods in FS. To increase population diversity and further improve the effectiveness of the beluga whale optimization (BWO) algorithm, in this paper, we propose a multi-strategies improved BWO (MSBWO), which incorporates improved circle mapping and dynamic opposition-based learning (ICMDOBL) popula… Show more

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