| Liu Jiansheng (刘建胜)*,Tan Wenyue*,Jiang Hai**,Yu Gong***.[J].高技术通讯(英文),2020,26(1):108~117 |
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| A hybrid optimization approach for the heterogeneous vehicle routing problem with multiple depots cooperative operation |
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| DOI：doi：10.3772/j.issn.1006-6748.2020.01.015 |
| 中文关键词: |
| 英文关键词: finished vehicle logistics (FVL), vehicle routing problem (VRP), hybrid heuristic algorithm, multiple factory depot |
| 基金项目: |
| Author Name | Affiliation | | Liu Jiansheng (刘建胜)* | （*School of Mechanical and Electronic Engineering, Nanchang University, Nanchang 330031, P.R.China） | | Tan Wenyue* | （*School of Mechanical and Electronic Engineering, Nanchang University, Nanchang 330031, P.R.China） | | Jiang Hai** | （**School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, P.R.China） | | Yu Gong*** | （***Southampton Business School, University of Southampton, Southampton, SO171 BJ, UK） |
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| 中文摘要: |
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| 英文摘要: |
| With the challenge of great growing of transport diversity for the automobile enterprises, the heterogeneous vehicle routing problem with multiple depots, multiple types of finished vehicles and multiple types of transport vehicles in finished vehicle logistics (HVRPMD) is modelled and solved. A multi-objective optimization model for HVRPMD is presented considering loading constraints to minimize the total cost and minimize the number of transport vehicles. Then a hybrid heuristic algorithm based on genetic algorithm and particle swarm optimization (GA-PSO) is developed. Moreover, a case study is used to evaluate the effectiveness of this algorithm. By comparing the GA-PSO algorithm with the traditional GA algorithm, the simulation results demonstrate the proposed GA-PSO algorithm is able to better support the HVRPMD problem in practice. Contributions of the paper are the modelling and solving of a complex HVRPMD in logistics industry. |
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