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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Atlantis Press
2017-01-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/25883596/view |