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A new discrete particle swarm optimization for location inventory routing problem in cold logistics

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成果类型:
期刊论文
作者:
Li, Kang;Zheng, Jianguo;Wu, Daqing
作者机构:
[Zheng, Jianguo; Li, Kang] School of Management, Donghua University, Shanghai, 200051, China
[Wu, Daqing] School of Computer Science and Technology, University of South China, Hengyang, 421001, China
语种:
英文
期刊:
Revista de la Facultad de Ingeniería Universidad Central de Venezuela
ISSN:
0798-4065
年:
2016
卷:
31
期:
5
页码:
89-99
机构署名:
本校为其他机构
院系归属:
计算机科学与技术学院
摘要:
In order to solve cold logistics network problem under uncertain demand environment, this paper proposes a novel location inventory routing model to optimize costs in cold logistics. The goal of the proposed model is to determine the inventory strategy, numbers of location facilities and vehicle routing decisions. A new discrete particle swarm optimization (DPSO) is introduced to solve this integrated model. Its performance is tested over a real case for the proposed problems. Results indicate that it i...

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