A Genetic Algorithm for the Traveling Salesman Problem with Pickup and Delivery Using Depot Removal and Insertion Moves

2010-04-09
Cinar, Volkan
ÖNCAN, TEMEL
Süral, Haldun
In this work, we consider the Traveling Salesman Problem with Pickup and Delivery (TSPPD), which is an extension of the well-known NP-hard Traveling Salesman Problem. We propose a Genetic Algorithm (GA) based on a specially tailored tour improvement procedure for the TSPPD. Computational experiments are reported on the test instances taken from the literature. The experimental results suggest that the proposed GA yields a promising performance in terms of both accuracy and efficiency compared to existing algorithms in the literature.

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Citation Formats
V. Cinar, T. ÖNCAN, and H. Süral, “A Genetic Algorithm for the Traveling Salesman Problem with Pickup and Delivery Using Depot Removal and Insertion Moves,” 2010, vol. 6025, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53817.