Solving Heated Oil Pipeline Problems Via Mixed Integer Nonlinear Programming Approach
Abstract
It is a crucial problem how to heat oil and save running cost for crude oil transport. This paper strictly formulates such a heated oil pipeline problem as a mixed integer nonlinear programming model. Nonconvex and convex continuous relaxations of the model are proposed, which are proved to be equivalent under some suitable conditions. Meanwhile, we provide a preprocessing procedure to guarantee these conditions. Therefore we are able to design a branch-and-bound algorithm for solving the mixed integer nonlinear programming model to global optimality. To make the branch-and-bound algorithm more efficient, an outer approximation method is proposed as well as the technique of warm start is used. The numerical experiments with a real heated oil pipeline problem show that our algorithm achieves a better scheme and can save 6.83% running cost compared with the practical scheme.
Cite
@article{arxiv.1907.10812,
title = {Solving Heated Oil Pipeline Problems Via Mixed Integer Nonlinear Programming Approach},
author = {Muming Yang and Yakui Huang and Yu-Hong Dai and Bo Li},
journal= {arXiv preprint arXiv:1907.10812},
year = {2019}
}