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

Published in:	International Journal of Computational Intelligence Systems
Main Authors:	Xiaowen Bi, Zeyu Han, Wallace K. S. Tang
Format:	Article
Language:	English
Published:	Springer 2017-01-01
Subjects:	Multi-depot vehicle routing multi-objective optimization evolutionary algorithm local search
Online Access:	https://www.atlantis-press.com/article/25883596/view