15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'03) Effective Heuristics to Solve Pickup and Delivery Problems with Time Windows Sacramento, California, USA November 03-November 05 ISBN: 0-7695-2038-3
Pickup and delivery problem with time windows (PDP-TW) is a challenging scheduling problem for which each delivery is coupled with a pickup request. Metaheuristic search techniques like the tabu search have been used to solve PDP-TW. In this paper, we investigated a min-conflicts based micro-genetic algorithm combining some interesting construction heuristic, namely the Align-Fold or Boomerang, and repair heuristics including a new Swap operator and a modified billiard operator to effectively solve PDD-TW. Our results compared favorably against those of a tabu-embedded metaheuristic search on a set of modified Solomon?s test cases. More importantly, our proposed heuristics can easily be integrated into many search schemes for solving other complex scheduling problems.
Citation:
Vincent Tam, Lois C.Y. Tseng, "Effective Heuristics to Solve Pickup and Delivery Problems with Time Windows," ictai, pp.184, 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'03), 2003 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||