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Knowledge-guided hyper-heuristic evolutionary algorithm for large-scale Boolean network inference
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DOI：10.1016/j.eswa.2026.131418.png)
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Abstract
En 中文
• A novel hyper-heuristic method infers large-scale Boolean networks accurately. • Six knowledge-guided operators efficiently explore the solution space. • A new mutual information metric reduces redundancy and prevents overfitting. • Extensive experiments validate the superiority of the proposed method.
Keywords:
Boolean network inference
hyper-heuristic
evolutionary algorithm
mutual information
large-scale networks
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7.5
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3.0W
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12.5W
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