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A vague cluster graphical method for optimization of purchase & ocean shipping schemes of crude oil
XIAO Wentao1, XU Ning2, LIU Zhiling2, ZHOU Xiaoling2,3, WANG Zhen3, LI Qi2
(1.Fushun Research Institute of Petroleum and Petrochemicals, SINOPEC, Fushun 113001, China;2.China International United Petroleum & Chemicals Company Limited, Beijing 100728, China;3.Academy of Chinese Energy Strategy in China University of Petroleum, Beijing 102249, China)
Abstract:
The procedure of purchase & ocean shipping of crude oil in China was summarized, and the characteristics in optimizing the procedure were analyzed. The optimization can be categorized in a dynamic-fuzzy NP(non-deterministic polynomial)hard problem involving the optimization of multidimensional variables, which needs to be dealt with by the cooperation of staffs coming from different areas, and is thus beyond the solving ability of existing optimizing algorithms. A vague cluster graphical method was put forward. By discovering and utilizing of heuristic optimization information in real time, and by utilizing global view to joint local static optimized schemes searched by heuristic optimization algorithms, this method achieved the goal of global optimization. The vague cluster graphical method for optimizing of purchase & ocean shipping schemes of crude oil, coving the shortage of traditional model solving and taking the advantages of the combination of human interaction and computer 's ability for brutal calculation, can help staffs to adapt the dynamic-fuzzy attributes of the optimization of purchase & ocean shipping procedure of crude oil, and to optimize the purchase & ocean shipping plan by adjusting the transporting task (objective function and restricted conditions), and can support decision effectively.
Key words:  ocean shipping optimization of crude oil  NP(non-deterministic polynomial) hard problem  differential evolution algorithm  vague cluster graphical method