Multi-objective optimization model and algorithm for hazardous materials transportation network under terrorist attack

DOI

10.2991/iccte-17.2017.30How to use a DOI?

Keywords

Hazardous materials transportation; route potimization; terrorist attack; multi-objective genetic model; multi-objective genetic algorithm

Abstract

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.

Copyright

© 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/).

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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  -