DocumentCode :
2357891
Title :
Effective heuristics to solve pickup and delivery problems with time windows
Author :
Tam, Vincent ; Tseng, Lois C Y
Author_Institution :
Dept. of EEE, Hong Kong Univ., China
fYear :
2003
fDate :
3-5 Nov. 2003
Firstpage :
184
Lastpage :
188
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.
Keywords :
genetic algorithms; heuristic programming; planning (artificial intelligence); scheduling; search problems; transportation; Align-Fold or Boomerang; construction heuristic; delivery problem; heuristic algorithm; metaheuristic search; microgenetic algorithm; min-conflicts based microgenetic algorithm; modified Solomon test cases; modified billiard operator; pickup problem; pickup request; repair heuristic; repair heuristics; scheduling problem; swap operator; time windows; vehicle routing problem; Artificial intelligence; Costs; Genetic algorithms; Logistics; Operations research; Routing; Search methods; Testing; Time factors; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2003. Proceedings. 15th IEEE International Conference on
ISSN :
1082-3409
Print_ISBN :
0-7695-2038-3
Type :
conf
DOI :
10.1109/TAI.2003.1250188
Filename :
1250188
Link To Document :
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