Author

Zhenjiang Feng

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Jul 2026

Deep reinforcement learning-based multi-objective routing and resource allocation strategy in quantum key distribution optical networks

Simulations on NSFNET and UBN24 topologies show MOS-PPO outperforms DRL-PPO algorithm, Security-aware Load balancing, first fit algorithm, and random fit algorithm, and random fit algorithm, providing an efficient RWTA solution for the practical deployment of QKD optical networks.

Li Liu, Zhenjiang Feng, Wenbin Ke et al. · Physica Scripta · 0 citations