Optimizing the loaded and empty car flows of railway network with dual objectives

Yinghao Hu

doi:10.1117/12.2656168

20 October 2022 Optimizing the loaded and empty car flows of railway network with dual objectives

Yinghao Hu

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 1245104 (2022) https://doi.org/10.1117/12.2656168
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

In order to overcome the limitations carried by single-objective optimization of freight (railway and highway) network, in this paper we propose a dual-objective optimization model with minimum cost and shortest mileage using the augmented epsilon constraint algorithm. Specifically, the dual-objective optimization model is based on the characteristics of the actual traffic flow, and the relevant constraints. This paper uses a random example to demonstrate the distribution of non dominated solutions. The results show that our model and its algorithm can find high-quality representative non-dominated solutions within a reasonable time, which is significant for solving the loaded and empty car flow path problem in the railway network.

Citation Download Citation

Yinghao Hu "Optimizing the loaded and empty car flows of railway network with dual objectives", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 1245104 (20 October 2022); https://doi.org/10.1117/12.2656168

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