Next Article in Journal
Black Box Traceable Ciphertext Policy Attribute-Based Encryption Scheme
Next Article in Special Issue
Travel Mode Detection Based on Neural Networks and Particle Swarm Optimization
Previous Article in Journal
Personal Identification and the Assessment of the Psychophysiological State While Writing a Signature
Previous Article in Special Issue
Improved Genetic Algorithm Optimization for Forward Vehicle Detection Problems
Open AccessArticle

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

by Yao Wang * and Jing Lu
Transportation Management College, Dalian Maritime University, Dalian 116026, Liaoning, China
*
Author to whom correspondence should be addressed.
Academic Editors: Baozhen Yao and Yudong Zhang
Information 2015, 6(3), 467-480; https://doi.org/10.3390/info6030467
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)
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
Show Figures

Figure 1

MDPI and ACS Style

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

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Search more from Scilit
 
Search
Back to TopTop