TY - GEN
T1 - Path optimization based on hybrid intelligent algorithm of emergency logistics
AU - Ju, Yanbing
AU - Sun, Lingyun
AU - Wang, Aihua
PY - 2010
Y1 - 2010
N2 - Path optimization problem is an important component of Emergency Logistics. According to the emergency incidents occurring in Emergency Logistics, We build an uncertain programming model, which is based on the shortest travel time as the objective function, and make the model closer to reality. The model use the traffic time as fuzzy variable, the demand quantity of disaster location as random variable, and in consideration of vehicles required to service within a specified time window, otherwise it will cause more losses. A hybrid algorithm is proposed to solve the model. Results show the effectiveness and feasibility of the model and algorithm.
AB - Path optimization problem is an important component of Emergency Logistics. According to the emergency incidents occurring in Emergency Logistics, We build an uncertain programming model, which is based on the shortest travel time as the objective function, and make the model closer to reality. The model use the traffic time as fuzzy variable, the demand quantity of disaster location as random variable, and in consideration of vehicles required to service within a specified time window, otherwise it will cause more losses. A hybrid algorithm is proposed to solve the model. Results show the effectiveness and feasibility of the model and algorithm.
KW - Emergency logistics
KW - Hybrid intelligent algorithm
KW - Path optimization
KW - Uncertain programming
UR - http://www.scopus.com/inward/record.url?scp=78149301214&partnerID=8YFLogxK
U2 - 10.1109/ICNC.2010.5583606
DO - 10.1109/ICNC.2010.5583606
M3 - Conference contribution
AN - SCOPUS:78149301214
SN - 9781424459612
T3 - Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010
SP - 1285
EP - 1289
BT - Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010
T2 - 2010 6th International Conference on Natural Computation, ICNC'10
Y2 - 10 August 2010 through 12 August 2010
ER -