Pickup and Delivery with Time Windows: Algorithms and Test Case Generation
ICTAI '01 Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence
A Metaheuristic for the Pickup and Delivery Problem with Time Windows
ICTAI '01 Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence
Computers and Operations Research
Multi-strategy grouping genetic algorithm for the pickup and delivery problem with time windows
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
A two-stage hybrid algorithm for pickup and delivery vehicle routing problems with time windows
Computers and Operations Research
SBRN '10 Proceedings of the 2010 Eleventh Brazilian Symposium on Neural Networks
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The vehicle routing problem with pickups, deliveries and time windows (PDPTW) is an important member in the class of vehicle routing problems. In this paper a general heuristic to construct an initial feasible solution is proposed and compared with other construction methods. New route reconstruction heuristics are then shown to improve on this. These reconstruction heuristics look to reorder individual routes and recombine multiple routes to decrease the number of vehicles used in the solution. A tabu search scheme where the attribute to be recorded has been specifically adapted to the PDPTW is proposed. A new method based on branch and bound optimisation attempts to optimise the final ordering of requests in routes to further improve the solutions. Results are analysed for a standard set of benchmark instances and are shown to be competitive with the state of the art.