4.7 Article

An improved ant colony optimization for vehicle routing problem

期刊

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 196, 期 1, 页码 171-176

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.ejor.2008.02.028

关键词

Vehicle routing problem; Improved ant colony optimization; Ant-weight strategy; Mutation operation

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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. (C) 2008 Elsevier B.V. All rights reserved.

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