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Study On Optimization Of Train Path Selection Based On Railway Ammunition Transportation

Posted on:2019-07-25Degree:MasterType:Thesis
Country:ChinaCandidate:Y YangFull Text:PDF
GTID:2392330611493390Subject:Engineering
Abstract/Summary:PDF Full Text Request
Ammunition transport vehicle path selection is the first part to ensure the safety of ammunition transport,there are often many uncertain factors in the actual ammunition transport,such as transport time and these uncertain factors will directly affect the ammunition transport safety.Therefore,it is particularly important to study the path selection optimization of railway train ammunition transportation problems.First,the article describes the basic knowledge theory involved in itself.It mainly includes railway dangerous goods overview and multi-objective optimization theory.The outline of railway dangerous goods mainly describes the characteristics of railway ammunition transportation,the risk analysis of transportation and the handling of the consequences of safety accidents.The multi-objective optimization theory describes the pareto optimal solution,pareto optimal boundary,pareto dominance relationship and the basic principle of algorithm design of multi-objective inheritance.Then,the paper studies the optimization of railway train ammunition transportation route selection under certain circumstances,considering the constraints in the process of railway vehicle transportation under the environment and established a multi-objective optimization model.Design multi-objective inheritance according to the characteristics of the problem and the established model,algorithm solved.The experimental cases that meet the conditions are given,and the solution set of the railway train ammunition transportation path is obtained,and the solution set is analyzed.Secondly,the article starts with the uncertainty and describes it from the perspective of risk and time.The problem of uncertain situation is divided into three types,the risk determination time is uncertain,the risk uncertainty time is determined,and the risk and time are both uncertain.The corresponding mathematical model is established for the three cases,and the genetic algorithm is used to solve the problem.According to the characteristics of the problem,the corresponding case is given,and the established model and algorithm are used to solve the problem,and the pareto solution set of the corresponding problem is obtained,and the solution set is analyzed.Finally,the paper summarizes and analyzes the follow-up research direction of the paper.
Keywords/Search Tags:Ammunition, Transportation Vehicle, Multi-objective Optimization, Roubust Model
PDF Full Text Request
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