Study of disaster relief goods dispatching model and its intelligent solution approach for state reserve system of rescue goods and materials
According to practical organization of disaster relief goods and materials dispatching activities in China, a novel relief goods and materials dispatching model for multi-depot and multi-disaster area is established. This model is based on the multi-level depot priority model and is formalized as a multi-objective optimization problem with the earliest emergency start time and the least number of participated depots. To approach this model, the particle swarm optimization algorithm is adopted. We also integrated this model into the disaster relief goods dispatching application successfully and applied for programming the simulated dispatching plan for Yushu earthquake disaster. The results prove the efficiency of the proposed model and its intelligent solution approach.
disaster relief dispatching model multi-objective optimization particle swarm optimization
Weidong Tian Hongjuan Zhou Li Zhao Yang Lu
School of Computer & Information, Hefei University of Technology, Hefei, China 230009 Institute of I School of Computer & Information, Hefei University of Technology, Hefei, China 230009
国际会议
桂林
英文
1-8
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）