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

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Title
A self-learning approach for optimal detailed scheduling of multi-product pipeline
Authors
Keywords
Multi-product pipeline, Self-learning approach, Detailed scheduling, Mixed-integer linear programming (MILP), Fuzzy clustering analysis, Ant colony optimization (ACO)
Journal
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
Volume 327, Issue -, Pages 41-63
Publisher
Elsevier BV
Online
2017-06-17
DOI
10.1016/j.cam.2017.05.040

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