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A parallel improved ant colony optimization for multi-depot vehicle routing problem
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Journal Article
A parallel improved ant colony optimization for multi-depot vehicle routing problem
2011
Overview
This paper presents a method for solving multi-depot vehicle routing problem (MDVRP). First, a virtual central depot is added to transfer MDVRP to the multi-depot vehicle routing problem with the virtual central depot (V-MDVRP), which is similar to a vehicle routing problem (VRP) with the virtual central depot as the origin. An improved ant colony optimization with coarse-grain parallel strategy, ant-weight strategy and mutation operation, is presented for the V-MDVRP. The computational results for 23 benchmark problems are reported and compared to those of other ant colony optimizations.
Publisher
Taylor & Francis,Palgrave Macmillan,Palgrave Macmillan UK,Taylor & Francis Ltd
Subject
