基于多目标的震后应急物资车辆路径问题研究
[Abstract]:China is a country with more natural disasters. Frequent natural disasters bring huge casualties and losses to the society, among which earthquakes cause the most deaths and economic losses. The rapid, safe and effective supply of emergency materials is particularly important for the basic life, health and epidemic prevention and social stability of the people after the disaster. First of all, on the basis of combing the existing research results and theories, this paper expounds the concepts and characteristics of general emergency logistics and post-earthquake emergency logistics, compares emergency logistics with commercial logistics, and analyzes the special features of emergency logistics and general emergency logistics based on earthquake disasters. Then, according to the actual situation of emergency material distribution after earthquake, various transportation modes are compared. Highway transportation plays an important role in post-earthquake emergency material distribution because of its wide road network coverage, flexible maneuverability, fast speed and easy road condition repair. Secondly, the construction of emergency logistics public information platform based on earthquake disaster is discussed, and the demand of emergency logistics public information platform is analyzed according to the participants, and the framework of simple emergency logistics public information platform is designed. In addition, based on the problem of single target distribution path in the idealized environment of emergency vehicles, combined with the particularity of emergency logistics after earthquake, the influence of road surface, roadside buildings and traffic flow on the objective function is analyzed. In order to solve the problems of bicycle distribution and multi-vehicle distribution after the earthquake, a multi-objective model considering distribution time, path risk, distribution fairness and distribution cost is proposed. On the basis of dimensionless processing, the fuzzy weighting method of unstructured decision is used to calculate the index weight, and the multi-objective is unified by weighted summation. Aiming at the bicycle distribution after the earthquake, the improved genetic algorithm is improved to solve the problem, and the mountain climbing algorithm and genetic algorithm are combined to solve the problem of multi-vehicle emergency distribution after the earthquake. Finally, the standard data of Solomon vehicle path are randomly selected to solve and analyze two examples of single target and multi-vehicle distribution path model after earthquake, which are solved in MATLAB7.0 environment. Through the comparison of operation results, the rationality of the model and the feasibility and effectiveness of the two improved genetic algorithms are verified.
【学位授予单位】:沈阳大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:U492.22;P315.9
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