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Vol. 160, Issue 12, December 2013, pp. 472-478

 

Bullet

 

The Location-Routing Problem of Urban Disaster Emergency Based on an Improved Ant Colony Algorithm
 
Renhui LIU, Yang YANG

School of Management, Harbin Institute of Technology, 13 Fayuan St, Nangang Dist, Heilongjiang, Harbin, 150001, China
Tel.: 86 18604502333, fax: 860451-86402181
E-mail: lrh@hit.edu.cn

 

Received: 18 September 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems

 

Abstract: The optimization of urban emergency supplies transportation can effectively improve disaster relief efficiency and reduce disaster losses. In this study, a multi-objective location-routing problem (LRP) model is established aiming at minimizing the time, route length, and cost in urban emergency rescue. Moreover, an improved ant colony algorithm is designed to solve this model. In this algorithm, the pheromone updating strategy and heuristic factor are enhanced considering the disadvantages of ant colony algorithm. Finally, combining with the risk slope control works in Shenzhen, China, empirical studies are conducted in 30 dangerous slopes in Baoan District, Shenzhen to verify the feasibility and effectiveness of the improved ant colony algorithm.

 

Keywords: Urban emergency, Emergency management, Ant colony algorithm, Emergency Logistics, LRP.

 

 

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