Evolutionary Multi-objective Optimization for Multi-depot Vehicle Routing in Logistics

Delivering goods in an efficient and cost-effective way is always a challenging problem in logistics. In this paper, the multi-depot vehicle routing is focused. To cope with the conflicting requirements, an advanced multi-objective evolutionary algorithm is proposed. Local-search empowered genetic o...

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Bibliographic Details
Main Authors: Xiaowen Bi, Zeyu Han, Wallace K. S. Tang
Format: Article
Language:English
Published: Atlantis Press 2017-01-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/25883596/view