Multi-objective optimization model and algorithm for hazardous materials transportation network under terrorist attack
- 10.2991/iccte-17.2017.30How to use a DOI?
- Hazardous materials transportation; route potimization; terrorist attack; multi-objective genetic model; multi-objective genetic algorithm
In order to reduce the risk of hazardous materials transportation under the background of terrorist attacks,a method based on genetic algorithm is proposed.Firstly,a hazardous materials transportation route optimization model is designed with objective function of minimizing transportation risks and minimizing transportation costs.Secondly, an improved multi-objective genetic algorithm with node priority encoding method is adopted to solve the model.In addition,roulette selection operation,crossover operation based on a priority index,single-bit neighbour exchange variation method are used during genetic manipulation.Finally, liquefied natural gas (LNG) transportation is chosen as an empirical research example.The results show that hazardous materials transportation routes with low transportation risks and costs can be quickly obtained through using the optimization model and algorithm,which are proposed under the background of the terrorist attacks in this paper.
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ruiqi Xiong AU - Changxi Ma PY - 2017/07 DA - 2017/07 TI - Multi-objective optimization model and algorithm for hazardous materials transportation network under terrorist attack BT - Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017) PB - Atlantis Press SP - 175 EP - 184 SN - 2352-5401 UR - https://doi.org/10.2991/iccte-17.2017.30 DO - 10.2991/iccte-17.2017.30 ID - Xiong2017/07 ER -