Optimization of China Crude Oil Transportation Network with Genetic Ant Colony Algorithm
作者： Yao Wang , Jing Lu
DOI: 10.3390/INFO6030467
关键词: Ant colony optimization algorithms 、 Computer science 、 Genetic algorithm 、 Operations research 、 Flow network 、 Pipeline transport 、 Crude oil 、 Programming paradigm 、 Sea transport 、 Safeguard
摘要: 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 minimum transportation cost overall risk, a multi-objective programming model was established to optimize network import, genetic algorithm ant colony were employed solve problem. The optimized result shows that VLCC (Very Large Crude Carrier) is superior in long distance sea transportation, whereas transport more secure than transport. Finally, provides related safeguard suggestions
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