2022 Vol.5 Sep.No3

• Title: Optimal Scheme Design of Ship Logistics Distribution Center Location Based on Ant Colony Algorithm
• Name: John Wilson
• Company: California American University,USA
• Abstract:

  The important condition of ship logistics center location is to meet the optimization of distribution time and distribution distance. In order to achieve this goal, the optimal scheme design of ship logistics distribution center location based on ant colony algorithm is put forward. First, the ant colony optimization model is established to determine the ant colony optimal quantity calculation mechanism; then, the logistics distribution model is established according to the ship logistics distribution data; then, the logistics distribution model is introduced into the ant colony optimization model. The optimal location of ship logistics distribution center is obtained. By comparing the simulation data, the feasibility of the proposed design scheme is proved.

  
  

• Keyword: Ant Colony Algorithm; Ship Logistics; Site Selection; Optimal
• DOI: 10.12250/jpciams2022090210
• Citation form: John Wilson. Optimal Scheme Design of Ship Logistics Distribution Center Location Based on Ant Colony Algorithm [J]. Computer Informatization and Mechanical System,2022,Vol.5,pp.48-50

[1]Zhang Jun, Li Yihua, Luo Dayong. Evaluation for Critical Node in Logistics Distribution Network Involved with Position Information[J]. Computer Engineering and Applications, 2020, 56(11):259-264.

[2] Zeng Zhixiong, Zou Chidao, Wei Jianfeng, et al. Optimization of Distribution Cost Model of Cold Chain Logistics for Litchi Based on Ant Colony Algorithm[J]. Packaging Engineering, 2019, 40(11):58-65.

[3] Ye Shilin, Cao Youhui, Wang Jiawei, et al. Spatio-temporal evolution characteristics and mechanism of the port logistics system along the Yangtze River[J]. Geographical Research, 2018, 37(5):925-936.

[4] Ma Guiping, Pan Feng. Logistics transportation route research based on improved ant colony algorithm[J]. Computer Engineering and Science, 2020, 42(3):523-528.