Two-echelon logistics distribution region partitioning problem based on a hybrid particle swarm optimization–genetic algorithm

作者：

Highlights：

• A logistics distribution region partitioning model is developed.

• This model is to minimize the cost of two-echelon logistics distribution network.

• A hybrid algorithm with PSO and GA is proposed.

• The empirical results reveal that EPSO–GA algorithm outperforms other algorithms.

摘要

•A logistics distribution region partitioning model is developed.•This model is to minimize the cost of two-echelon logistics distribution network.•A hybrid algorithm with PSO and GA is proposed.•The empirical results reveal that EPSO–GA algorithm outperforms other algorithms.

论文关键词：Two-echelon logistics distribution region partitioning,Multi-echelon logistics distribution network,Vehicle routing problem,Particle swarm optimization,Genetic algorithm

论文评审过程：Available online 10 March 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.02.058