solving the capacitated vehicle routing problem based on improved ant-clustering algorithm

Clicks: 154
ID: 209022
2015
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Abstract
The capacitated vehicle routing problems (CVRP) are NP-hard. Most approaches can solve small-scale case studies to optimality. Furthermore, they are time-consuming. To overcome the limitation, this paper presents a novel three-phase heuristic approach for the capacitated vehicle routing problem. The first phase aims to identify sets of cost-effective feasible clusters through an improved ant-clustering algorithm, in which the adaptive strategy is adopted. The second phase assigns clusters to vehicles and sequences them on each tour. The third phase orders nodes within clusters for every tour and genetic algorithm is used to order nodes within clusters. The simulation indicates the algorithm attains high quality results in a short time.
Reference Key
jiashan2015matecsolving Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Zhang Jiashan;Lin Xiaoqun;Jun Yi;Li Qiang
Journal acta botânica brasílica
Year 2015
DOI
10.1051/matecconf/20152203022
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