Enhanced binary grey wolf optimizer based on quantum computing and multi-strategy for feature selection on high-dimensional data classification

doi:10.1016/j.chaos.2025.117056

Enhanced binary grey wolf optimizer based on quantum computing and multi-strategy for feature selection on high-dimensional data classification

2025-09-25

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DOI：10.1016/j.chaos.2025.117056

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• We propose an efficient initialization population method based on quantum computing. • Present a cooperative updating mechanism for multiple populations. • Designed a unique strategy for precise elimination and elastic generation. • Statistical analysis demonstrates the effectiveness of the method in feature selection.

Enhanced binary grey wolf optimizer based on quantum computing and multi-strategy for feature selection on high-dimensional data classification

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