Open AccessComputer optimal path simulation planning of oil and gas storage and transportation based on similarity measurement of decision space
Author(s) -
ZhiHan Wang,
TianYu Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1533/3/032047
Subject(s) - path (computing) , similarity (geometry) , computer science , space (punctuation) , operations research , service (business) , function (biology) , travel time , mathematical optimization , transport engineering , engineering , mathematics , artificial intelligence , business , marketing , evolutionary biology , image (mathematics) , biology , programming language , operating system
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.