Title: Research on the application of multiple target cluster intelligent algorithm in the design of door-to-door carriage of cargoes in railway carriage enterprises

Authors: Xiumiao Liu; Wei Shi

Addresses: Department of Foundation, Hebei Vocational College of Rail Transportation, Shijiazhuang, Hebei, China ' Department of Railway Transportation, Hebei Vocational College of Rail Transportation, Shijiazhuang, Hebei, China

Abstract: In recent years, RFT has gradually transformed into a service-oriented business, and door-to-door transport has become an important advancement direction of RFT transport. To improve the carriage quality and efficiency of railway carriage enterprises, the majorisation pattern of RFTD2DT route design is studied by IMOQPSO algorithm. The astringency performance is enhanced by improving the operation of parameter setting and location updating. The research results indicate that the average GD value of IMOQPSO is 0.04 and 0.01, and the average IGD value is 0.81 and 0.01, which is obviously superior to IMOMPPSO, IMOQPSO has good Pareto front astringency. The research introduces multi-objective optimisation algorithm into the design of RFTD2DT route. The IMOQPSO algorithm is used to determine the best transportation route in the transportation process of the door-to-door, which can effectively provide decision-making reference for the route design of railway transportation enterprises, reduce the transportation time and cost of railway freight and improve the operation efficiency. It has important value for promoting the upgrading of railway freight door-to-door service.

Keywords: railway; carriage; IMOMPPSO; multi-objective majorisation; by route.

DOI: 10.1504/IJVICS.2023.131605

International Journal of Vehicle Information and Communication Systems, 2023 Vol.8 No.1/2, pp.85 - 102

Received: 26 Dec 2022
Accepted: 13 Feb 2023
Published online: 20 Jun 2023 *