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)
vehicle-routing-problem local-search simulated-annealing ant-colony-optimization time-windows metaheuristics combinatorial-optimization route-optimization routing-optimization vrptw guided-local-search heuristic-algorithms hybrid-genetic-search vehicle-routing-problem-time-windows np-hard-problems solomon-dataset population-based-algorithms pheromone-trails time-window-constraints vehicle-capacity
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Updated
Nov 29, 2025 - Python