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Computer optimal path simulation planning of oil and gas storage and transportation based on similarity measurement of decision space

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Published under licence by IOP Publishing Ltd
, , Citation ZhiHan Wang and TianYu Li 2020 J. Phys.: Conf. Ser. 1533 032047 DOI 10.1088/1742-6596/1533/3/032047

1742-6596/1533/3/032047

Abstract

The optimal path of oil and gas storage and transportation has become an important issue of oil and gas transportation management, which has become an important research topic. By reasonably arranging the driving route of vehicles, enterprises can reduce their own transportation costs, which will optimize the objective function. By relying on the similarity measurement algorithm of decision space, we can optimize multiple objective functions of oil and gas storage and transportation, such as the number of vehicles, the total distance of the path, the total waiting time, vehicle service time, etc. Through the study of multiple route schemes, we can choose the optimal route simulation planning of oil and gas storage and transportation. First, we analyze the decision space similarity measurement algorithm. Then, the optimal path simulation planning of oil and gas storage and transportation is proposed. Finally, some suggestions are put forward.

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