TY - JOUR
T1 - Route selection for emergency logistics management: A bio-inspired algorithm
AU - Zhang, Xiaoge
AU - Zhang, Zili
AU - Zhang, Yajuan
AU - Wei, Daijun
AU - Deng, Yong
N1 - Funding Information:
The Ph.D student of the corresponding author in Shanghai Jiao Tong University, Xiaoyan Su, gives some discussions about the algorithm. The work described in this paper is partially supported by Chongqing Natural Science Foundation (for Distinguished Young Scholars) , Grant No. CSCT, 2010BA2003 , National High Technology Research and Development Program of China (863 Program) (Grant No. 2012AA041101 ), National Natural Science Foundation of China , Grant Nos. 60933006 , 61174022 , the Fundamental Research Funds for the Central Universities Grant Nos. XDJK2010C030 , XDJK2011D002 , XDJK2013D010 , the Southwest University Scientific & Technological Innovation Fund for Postgraduates , Grant No. ky2011011 , China State Key Laboratory of Virtual Reality Technology and Systems.
PY - 2013/4
Y1 - 2013/4
N2 - Route selection is one of the fundamental problems in emergency logistics management, which plays an important role in real applications. A various paper has been produced to deal with route selection problem, in which the travel time on each arc of the logistics network is a constant. However, the travel speed will change with the extension of the disaster, especially under disasters like hurricane, flood, etc. To address this issue, a novel bio-inspired method is proposed to solve this problem. Furthermore, both the travel time and the path length are taken into consideration. The proposed approach solves how to choose the optimal path from the optional choices. A case study is utilized to evaluate the efficiency of the proposed method. The result shows that the proposed method is effective in dealing with the route selection problem for emergency logistics management.
AB - Route selection is one of the fundamental problems in emergency logistics management, which plays an important role in real applications. A various paper has been produced to deal with route selection problem, in which the travel time on each arc of the logistics network is a constant. However, the travel speed will change with the extension of the disaster, especially under disasters like hurricane, flood, etc. To address this issue, a novel bio-inspired method is proposed to solve this problem. Furthermore, both the travel time and the path length are taken into consideration. The proposed approach solves how to choose the optimal path from the optional choices. A case study is utilized to evaluate the efficiency of the proposed method. The result shows that the proposed method is effective in dealing with the route selection problem for emergency logistics management.
KW - Bio-inspired
KW - Emergency logistics management
KW - Route selection
UR - http://www.scopus.com/inward/record.url?scp=84872458439&partnerID=8YFLogxK
U2 - 10.1016/j.ssci.2012.12.003
DO - 10.1016/j.ssci.2012.12.003
M3 - Journal article
AN - SCOPUS:84872458439
SN - 0925-7535
VL - 54
SP - 87
EP - 91
JO - Safety Science
JF - Safety Science
ER -
