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A minimal driver set-based algorithm for targeted control of random Boolean networks
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DOI：10.1016/j.cnsns.2026.110513.png)
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Abstract
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• A novel Minimum Intervention Control Strategy (MICS) is proposed for random Boolean networks. • MICS combines genetic algorithm and dynamic influence metric within time windows. • The method reduces minimal driver sets by over 40% while maintaining high success.
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