Slotting Optimization for Railway Freight Yard Based on Genetic Algorithm

The freight yard is the basic production unit of railway freight transportation. The slotting optimization in it is significant to increase the utilization of freight site, reduce the operating cost of freight yard and enhance the operating benefits of the railway transportation enterprise. This paper analyzes major factors influencing the slotting optimization, and puts forward an optimized mathematical model which is based on the principle of minimizing the time to store and fetch goods. Moreover, the major factors are transformed with penalty-function; meanwhile, improved genetic algorithm is taken as the method. Finally, this paper adopts MATLAB genetic algorithm (GA) Toolbox to carry out the visualized solution for the optimization, the results of which indicate that the slotting optimization model can well enhance the efficiency of storing and fetching goods, and realize the aim of minimizing the cost in the freight yard.

• Record URL:
  • https://doi.org/10.1061/41139(387)450
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784411391
• Supplemental Notes:
  • © 2010 American Society of Civil Engineering.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Tian, Bowen
  • Lv, Hongxia
• Conference:
  • International Conference of Logistics Engineering and Management (ICLEM) 2010
  • Location: Chengdu , China
  • Date: 2010-10-8 to 2010-10-10
• Publication Date: 2010-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 3225-3232
• Monograph Title: ICLEM 2010: Logistics For Sustained Economic Development: Infrastructure, Information, Integration

Subject/Index Terms

• TRT Terms: Freight transportation; Logistics; Operating costs; Optimization; Railroads; Slot allocation
• Identifier Terms: MATLAB (Computer program)
• Subject Areas: Freight Transportation; Planning and Forecasting; Railroads; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01525501
• Record Type: Publication
• ISBN: 9780784411391
• Files: TRIS, ASCE
• Created Date: May 28 2014 3:20PM