Effective Heuristics to Solve Pickup and Delivery Problems with Time Windows

  • Authors:
  • Vincent Tam;Lois C. Y. Tseng

  • Affiliations:
  • -;-

  • Venue:
  • ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
  • Year:
  • 2003

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Abstract

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.