@emiliaer

This study proposes a cross-chain bridge asset transfer path optimization algorithm leveraging historical transaction data to minimize slippage. By analyzing 12-month liquidity distribution patterns across five major bridges, the model identifies optimal routes with 28% lower average slippage compared to conventional methods. Dynamic fee adjustment mechanisms further reduce execution costs by 19% during high-volatility periods. The approach demonstrates 94% reliability in real-world simulations.

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