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Zbl 1156.90434
Yu, Bin; Yang, Zhong-Zhen; Yao, Baozhen
An improved ant colony optimization for vehicle routing problem. (English)
[J] Eur. J. Oper. Res. 196, No. 1, 171-176 (2009). ISSN 0377-2217

Summary: The vehicle routing problem (VRP), a well-known combinatorial optimization problem, holds a central place in logistics management. This paper proposes an improved ant colony optimization (IACO), which possesses a new strategy to update the increased pheromone, called ant-weight strategy, and a mutation operation, to solve VRP. The computational results for fourteen benchmark problems are reported and compared to those of other metaheuristic approaches.
MSC 2000:
*90C27 Combinatorial programming
90C59 Approximation methods and heuristics

Keywords: vehicle routing problem; improved ant colony optimization; ant-weight strategy; mutation operation

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