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A cost-constrained dismantling framework for hypergraph with dynamic cascading failure using deep reinforcement learning
DOI:10.1016/j.physa.2025.130988.png)
Abstract
En 中文
• Proposes a hypergraph capacity-load model to represent cascading failure phenomena. • Introduces a hypergraph dismantling model with cost constraints. • Presents C2HD-RL, a dynamic cascading hypergraph dismantling framework using deep RL. • C2HD-RL reduces hypergraph connectivity efficiently at lower attack cost.
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