Large neighborhood search using constraint satisfaction techniques in vehicle routing problem

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Abstract

Vehicle Routing Problem(VRP) is a well known NP-hard problem, where an optimal solution to the problem cannot be achieved in reasonable time, as the problem size increases. Due to this problem, many researchers have proposed a heuristic using a local search. In this paper, we propose the Constraint Satisfaction Problem(CSP) model in Large Neighborhood Search. This model enables us to reduce the size of local search space. In addition, it enables the easy handling of many constraints in the real-world. © 2009 Springer Berlin Heidelberg.

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Lee, H. J., Cha, S. J., Yu, Y. H., & Jo, G. S. (2009). Large neighborhood search using constraint satisfaction techniques in vehicle routing problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5549 LNAI, pp. 229–232). https://doi.org/10.1007/978-3-642-01818-3_30

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