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

Kang Li

Abstract


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 is considerably efficient and effective to solve the problem.


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References


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Revista de la Facultad de Ingeniería,

ISSN: 2443-4477; ISSN-L:0798-4065

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