Empty Railcar Distribution And Application Of Railway Empty Railcar Problem In An Emergency

In recent years, with the further deepening of reform and opening up in our country and the adjustment of industrial structure and economic structure, the railway transportation has been developed rapidly in our country. The rapid development of railway transportation to the efficient and effective operation of the railway freight empty cars and rational utilization of higher requirements are put forward. As an important link in railway transportation, how to reasonable allocate empty to improve the utilization efficiency of empty vehicles on railway cars, gradually become a very important iss ue in recent years and received a high degree of attention.In this paper, on the basis of research at home and abroad, combined with the randomness of railway transportation by rail network dynamics and environment to research the problem of railway empty deployment. Specifically, the analysis of the railway transport network is described, considering the influence of uncertain factors in real world railway transport network, will be treated as random variables of uncertain factors, empty cars problem of stochastic optimization model is established. Based the characteristics of on the model, design hybrid intelligent algorithm to solve the model, and design example verified the effectiveness of the model and algorithm. The paper research content is summarized as follows:At first, relevant theoretical foundation of empty distribution. Analysis of empty, source, and the cause and characteristics of the empty car d istribution, and combined with empty distribution of existing relevant basic principles and methods, to collect the basic information of the empty car, sums up the basic operation mode and processes of empty car distribution, and the empty car distribution optimization model provides a solid theoretical basis.At second, Railway empty distribution random-chance constrained programming model and the empty distribution problem research of the emergency. Analyzed some uncertainty factors that exist in the empty cars distribution process, including empty cars distribution requirements, time Windows, etc., including empty car distribution with substitution of empty car types, The empty car distribution Traveling associated costs, inventory costs and substitution of empty car types costs are bringing into goals, on the basis of the deterministic model uncertainty, stochastic-chance constrained programming model is established. Which also takes into account the empty cars distribution of emergency, introduced empty cars distribution based on fuzzy materials priority, and materials priority for fuzzy comprehensive evaluation, establish the right model.At last, stochastic-chance constrained programming model algorithm and its example of empty cars distribution. Hybrid genetic algorithm based on stochastic simulation design of empty cars diatribution is disigened, the structure, the feasibility of the algorithm in the process of chromosomes inspection, fitness function, selection, crossover and mutation operation, etc. operation is described. To improve the operation efficiency of the algorithm, the introduction of neural networks, using stochastic simulation method to tackle the problem of random-chance constrained and the corresponding improvement, hybrid genetic algorithm is designed. And the characteristics of the new algorithm, the algorithm has carried on the detailed process. the degradation of the example of The stochastic-chance constrained programming model is designed, using the algorithm to verify evaluation results of the model, verify the algorithm validity.