Applying a hybrid ant colony system to the vehicle routing problem

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Abstract

The vehicle routing problem (VRP) has been extensively studied because of the interest in its application in logistics and supply chain management. In this paper, we develop a hybrid algorithm (IACS-SA) that combines the strengths of improved ant colony system (IACS) and simulated annealing (SA) algorithm. The results of computational experiments on fourteen VRP benchmark problems show that our IACS-SA produces better solutions than those of other ACS in the literature. The results also indicate that such a hybrid algorithm is comparable with other meta-heuristic algorithms. © Springer-Verlag Berlin Heidelberg 2005.

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Chen, C. H., Ting, C. J., & Chang, P. C. (2005). Applying a hybrid ant colony system to the vehicle routing problem. In Lecture Notes in Computer Science (Vol. 3483, pp. 417–426). Springer Verlag. https://doi.org/10.1007/11424925_45

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