A randomized multi-start genetic algorithm for the one-commodity Pickup-and-Delivery traveling salesman problem

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Abstract

The One-Commodity Pickup-and-Delivery Traveling Salesman Problem (1-PDTSP) is a generalization of the standard travelling salesman problem. 1-PDTSP is to design an optimal tour that minimizes the overall travelled distance through the depot and a set of customers. Each customer requires either a pickup service or a delivery service. We propose a Randomized Multi-start Genetic Algorithm (RM-GA) to solve the 1-PDTSP. Experimental investigations show that the proposed algorithm is competitive against state-of-the-art methods.

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Yahyaoui, H., Tlili, T., & Krichen, S. (2015). A randomized multi-start genetic algorithm for the one-commodity Pickup-and-Delivery traveling salesman problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9142, pp. 45–49). Springer Verlag. https://doi.org/10.1007/978-3-319-20469-7_6

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