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Information, Vol. 6, Pages 467-480: Optimization of China Crude Oil Transportation Network with Genetic Ant Colony Algorithm (2015)

Yao Wang; Jing Lu

MDPI

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Publication Date: 2015-08-13

Description: Taking into consideration both shipping and pipeline transport, this paper first analysed the risk factors for different modes of crude oil import transportation. Then, based on the minimum of both transportation cost and overall risk, a multi-objective programming model was established to optimize the transportation network of crude oil import, and the genetic algorithm and ant colony algorithm were employed to solve the problem. The optimized result shows that VLCC (Very Large Crude Carrier) is superior in long distance sea transportation, whereas pipeline transport is more secure than sea transport. Finally, this paper provides related safeguard suggestions on crude oil import transportation.

Electronic ISSN: 2078-2489

Topics: Computer Science

Published by MDPI

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