Optimization of China Crude Oil Transportation Network with Genetic Ant Colony Algorithm
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...
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MDPI AG
2015-08-01
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Online Access: | http://www.mdpi.com/2078-2489/6/3/467 |
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author | Yao Wang Jing Lu |
author_facet | Yao Wang Jing Lu |
author_sort | Yao Wang |
collection | DOAJ |
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. |
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language | English |
last_indexed | 2024-12-14T14:59:04Z |
publishDate | 2015-08-01 |
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spelling | doaj.art-0ff62091a9934054b72862c6a29db6892022-12-21T22:56:53ZengMDPI AGInformation2078-24892015-08-016346748010.3390/info6030467info6030467Optimization of China Crude Oil Transportation Network with Genetic Ant Colony AlgorithmYao Wang0Jing Lu1Transportation Management College, Dalian Maritime University, Dalian 116026, Liaoning, ChinaTransportation Management College, Dalian Maritime University, Dalian 116026, Liaoning, ChinaTaking 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.http://www.mdpi.com/2078-2489/6/3/467integrated transportationtransportation safetymulti-objective programmingcrude oil importtransportation network |
spellingShingle | Yao Wang Jing Lu Optimization of China Crude Oil Transportation Network with Genetic Ant Colony Algorithm Information integrated transportation transportation safety multi-objective programming crude oil import transportation network |
title | Optimization of China Crude Oil Transportation Network with Genetic Ant Colony Algorithm |
title_full | Optimization of China Crude Oil Transportation Network with Genetic Ant Colony Algorithm |
title_fullStr | Optimization of China Crude Oil Transportation Network with Genetic Ant Colony Algorithm |
title_full_unstemmed | Optimization of China Crude Oil Transportation Network with Genetic Ant Colony Algorithm |
title_short | Optimization of China Crude Oil Transportation Network with Genetic Ant Colony Algorithm |
title_sort | optimization of china crude oil transportation network with genetic ant colony algorithm |
topic | integrated transportation transportation safety multi-objective programming crude oil import transportation network |
url | http://www.mdpi.com/2078-2489/6/3/467 |
work_keys_str_mv | AT yaowang optimizationofchinacrudeoiltransportationnetworkwithgeneticantcolonyalgorithm AT jinglu optimizationofchinacrudeoiltransportationnetworkwithgeneticantcolonyalgorithm |