Optimal Path Selection for Mine Emergency Rescue Based on Improved Ant Colony Algorithm

Feng Tian; Zhong Zhao Chen

doi:10.4028/www.scientific.net/AMR.159.168

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Optimal Path Selection for Mine Emergency Rescue Based on Improved Ant Colony Algorithm
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 159Optimal Path Selection for Mine Emergency Rescue...

Optimal Path Selection for Mine Emergency Rescue Based on Improved Ant Colony Algorithm

Abstract:

It is the primary task to ensure the safety of lives and property of underground workers with the increasing amount of coal mining. Under the actual complex environment of coal, all kinds of uncertian factors should be considered except for the distance for the selection of the optimal path to reduce casualties. Aiming at the defect of the lower solution accuracy and tending to fall into local optimal solution of the basic ant colony algorithm(ACA), an improved ant colony algorithm is presented based on the model of ACA. Experiment results show that the new algorithm can get better results.

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Periodical:

Advanced Materials Research (Volume 159)

Pages:

168-171

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.159.168

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Online since:

December 2010

Authors:

Feng Tian, Zhong Zhao Chen

Keywords:

Ant Colony Algorithm (ACA), Emergency Rescue, Optimal Path, Pheromone

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