A self-learning approach for optimal detailed scheduling of multi-product pipeline

Author:

Haoran Zhang,Yongtu Liang,Qi Liao,Yun Shen,Xiaohan Yan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference43 articles.

1. A Lagrangian relaxation approach for a multi-mode inventory routing problem with transshipment in crude oil transportation;Shen;Comput. Chem. Eng.,2011

2. Hydraulic model optimization of a multi-product pipeline;Liang;Petrol Sci.,2012

3. Operational scheduling of refined product pipeline with dual purpose depots;MirHassani;Appl. Math. Model.,2013

4. A general modeling framework for the long-term scheduling of multiproduct pipelines with delivery constraints;Mostafaei;Ind. Eng. Chem. Res.,2014

5. Z.G. Duan, Y.T. Liang, Q. Guo, Q. Xiao, H.R. Zhang, G.X. He, An automatic detailed scheduling method of refined products pipeline, in: IEEE Int. Conf. Con. Au., 2016, pp. 816–823

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