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Information 2015, 6(3), 467-480; doi:10.3390/info6030467

Optimization of China Crude Oil Transportation Network with Genetic Ant Colony Algorithm

Transportation Management College, Dalian Maritime University, Dalian 116026, Liaoning, China
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Author to whom correspondence should be addressed.
Academic Editors: Baozhen Yao and Yudong Zhang
Received: 12 June 2015 / Revised: 30 June 2015 / Accepted: 3 August 2015 / Published: 12 August 2015
(This article belongs to the Special Issue Swarm Information Acquisition and Swarm Intelligence in Engineering)
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Abstract

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. View Full-Text
Keywords: integrated transportation; transportation safety; multi-objective programming; crude oil import; transportation network integrated transportation; transportation safety; multi-objective programming; crude oil import; transportation network
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wang, Y.; Lu, J. Optimization of China Crude Oil Transportation Network with Genetic Ant Colony Algorithm. Information 2015, 6, 467-480.

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