DWOA-BNC: Discrete whale optimization algorithm for Bayesian network classifier learning and its application

Xihao Fan

doi:10.1016/j.patcog.2025.112661

DWOA-BNC: Discrete whale optimization algorithm for Bayesian network classifier learning and its application

2025-11-07

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DOI：10.1016/j.patcog.2025.112661

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• A discrete whale optimization algorithm for the structure learning of a Bayesian network classifier is proposed for the first time. This method involves updating the position of whales in discrete space to search for the (approximately) global optimal structure in the potential solution space. • A hybrid optimization strategy that includes dynamic parameter, a novel mutation strategy, and pruning is introduced. • The proposed method is applied to address the petroleum geological engineering problem of predicting the spatial distribution of oil and gas resources.

DWOA-BNC: Discrete whale optimization algorithm for Bayesian network classifier learning and its application

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