Hybrid Deep Reinforcement Learning with Kookaburra Optimization for QOS-Aware Bandwidth Allocation in GMPLS Optical Networks
The simulation results show that the suggested Hyb-DRL-KkOA algorithm performs better than the conventional bandwidth allocation algorithms, and reduces the blocking probability, makespan, cost, and energy utilization while improving the throughput; therefore, providing enhanced quality of service (QoS).