Emergency material collecting model of sudden disasters with fuzzy collecting time

The paper looked the Hub-and-Spoke emergency material collecting network with double level Multi-hub as the research target to reality the decision optimization of emergency material collecting under the sudden disaster. The paper set the double goals for the collecting time and costs with the major constraint conditions of the fuzzy collecting time and the system time according to the primary characters of disasters, and the paper constructed the Multi-hub, double goals of programming model with some constraint conditions, including the capacity limited of each hub spot, the total time of the collecting system and the ownership of each demand point. The author used the improved Particle Swarm Optimization (PSO) algorithm to solve the model, which can effectively reality the optimal goals, including the node-line distribution between the emergency material response points and each hub center, the emergency material quantity and the range of each hub center. Finally, the case showed that the improved PSO is superior to the standard PSO. The improved PSO has a clear advantage, such as a perfect iteration speed, a shorten collecting time and small collecting costs, etc. So the model can make a decision to the emergency material collecting of sudden disaster.