International Journal of Computational Intelligence Systems

Volume 10, Issue 1, 2017, Pages 1337 - 1344

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

Authors
Xiaowen Bixiaowenbi2-c@my.cityu.edu.hk, Zeyu Hanzeyuhan2-c@my.cityu.edu.hk, Wallace K. S. Tangeekstang@cityu.edu.hk
Department of Electronic Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR
Received 29 March 2017, Accepted 30 August 2017, Available Online 14 September 2017.
DOI
10.2991/ijcis.10.1.94How to use a DOI?
Keywords
Multi-depot vehicle routing; multi-objective optimization; evolutionary algorithm; local search
Abstract

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 operations and a fuzzy cluster-based initialization process are embedded in the design for performance enhancement. Its outperformance, as compared to existing alternatives, is confirmed by extensive simulations based on numerical datasets and real traffic conditions with various customers’ distributions.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
10 - 1
Pages
1337 - 1344
Publication Date
2017/09/14
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.10.1.94How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Xiaowen Bi
AU  - Zeyu Han
AU  - Wallace K. S. Tang
PY  - 2017
DA  - 2017/09/14
TI  - Evolutionary Multi-objective Optimization for Multi-depot Vehicle Routing in Logistics
JO  - International Journal of Computational Intelligence Systems
SP  - 1337
EP  - 1344
VL  - 10
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.10.1.94
DO  - 10.2991/ijcis.10.1.94
ID  - Bi2017
ER  -