Comparative Performance and Computational Complexity Analysis of Hybrid WGO–DRL and Heuristic, Metaheuristic and Bio-Inspired Scheduling Algorithms in Cloud Computing
A hybrid scheduling framework that integrates Hybrid Wild Goose Optimization (HWGO) with Deep Reinforcement Learning (DRL) is investigated, indicating that intelligent hybrid optimization techniques can provide adaptive and efficient task scheduling solutions for modern cloud computing environments.