Metastrategy simulated annealing and tabu search algorithms for the vehicle routing problem
Annals of Operations Research - Special issue on Tabu search
Stochastic Local Search: Foundations & Applications
Stochastic Local Search: Foundations & Applications
A cooperative parallel meta-heuristic for the vehicle routing problem with time windows
Computers and Operations Research
Vehicle Routing Problem with Time Windows, Part II: Metaheuristics
Transportation Science
Solving real-world vehicle routing problems with time windows using virus evolution strategy
International Journal of Knowledge-based and Intelligent Engineering Systems
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We present two hybrid Metaheuristics, a hybrid Iterated Local Search and a hybrid Simulated Annealing, for solving real-world extensions of the Vehicle Routing Problem with Time Windows. Both hybrid Metaheuristics are based on the same neighborhood generating operators and local search procedures. The initial solutions are obtained by the Coefficient Weighted Distance Time Heuristics with automated parameter tuning. The strategies are compared in an empirical study on four real-world problems. A performance measure is used that also considers multiple restarts of the algorithms.