Research on mine fire rescue path based on hybrid algorithm of PSO

DOI

10.2991/icismme-15.2015.221How to use a DOI?

Keywords

mine fire; shortest path; particle swarm optimization; ant colony algorithm.

Abstract

It is the most important thing to respond to mine fire that determining the optimal rescue path. This article is put forward the coefficient of accessing difficulty level by analyzing the factors which affecting underground fires, then constructing the optimal rescue path model of underground fire by calculating the equivalent length of roadway. Designing the hybrid particle based on PSO algorithm and ACO algorithm by analyzing the fundamental of PSO algorithm and ACO algorithm, and optimizing the basic flow of algorithm. Afterwards, searching for the optimal rescue path by using the hybrid particle. Finally, searching for the optimal rescue path with the shortest time by MATLAB software in the example. Not only providing a decision basis for determining the optimal rescue path in underground fires, but also providing the theoretical support of emergency relief system.

Copyright

© 2015, 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  - Nina Sun
AU  - Caiwu Lu
AU  - Wenjing Fan
AU  - Na Lu
PY  - 2015/07
DA  - 2015/07
TI  - Research on mine fire rescue path based on hybrid algorithm of PSO
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 1047
EP  - 1050
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.221
DO  - 10.2991/icismme-15.2015.221
ID  - Sun2015/07
ER  -