A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
A comprehensive Python implementation comparing multiple metaheuristic algorithms for solving the Vehicle Routing Problem with Time Windows (VRPTW). It provides a detailed comparison of four state-of-the-art optimization algorithms: Hybrid Genetic Search (HGS), Guided Local Search (GLS), Ant Colony Optimization (ACO), Simulated Annealing (SA)
An open-source, web-based solution to job organization and field management.
Trabalhos de Otimização e Meta-Heurísticas PPGI-UFES.
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