Research On Intelligent Optimization Method Of Highway Profile Based On Improved Genetic Algorithm

The highway route design is one of the most important tasks in highway design.In the case of a flat line shape,profile alignment is a very important item,because it will directly affect the investment of construction and operation of a line.Therefore,the optimization study of the longitudinal section has practical economic benefits.With the deepening of the research,researchers at home and abroad have proposed many improved methods for the longitudinal section optimization model and algorithm,so that it can better meet the needs of practical engineering,but there is still a single objective function,without considering the bridge and tunnel position and the vertical problems such as combination,optimization,and time consuming.In this paper,the optimization problem of highway profile optimization and its solving method are analyzed in detail,and the optimization model based on satisfaction theory is constructed.The improved genetic algorithm is designed to solve the model.The following work is completed:(1)The basic principles of highway intelligent line selection and the research ideas of longitudinal section linear design and the selection of related parameters are studied and introduced.(2)Taking the slope point and design elevation as the optimization design variables,the satisfaction theory is introduced to construct the longitudinal section optimization model considering both engineering and operation.The influence of longitudinal section parameters on traffic safety is analyzed in detail,and the traffic safety evaluation function is established.Based on the analysis of the essence of longitudinal section design,the multi-objective fitness function based on improved genetic algorithm is designed.The single slope fitness function is designed in the crossover operator,so that the moving direction of each slope point can be determined automatically.Combining the variation of the mutation operator with the pros and cons of the scheme itself,the optimization speed of the algorithm is improved.(3)The initial feasible solution area is obtained by using the maximum slope to correct the longitudinal section line with relatively large undulations,so as to guide the slope trend more accurately,and then smooth the corrected ground line to realize the number of slope points.Automatically determined.The uniform distribution method,the normal distribution method and the fitting method are combined to generate thevertical section scheme,and the initial population of the genetic algorithm is generated under the premise that the scheme satisfies,the diversity of the population and the relevant constraints.(4)Based on the theory of profile optimization,this paper completed the main algorithm for optimizing the profile in the VS.NET environment.Using the tool ObjectARX2006,the second development of AutoCAD was carried out with the support of VC++6.0 software,and then completed.The improved genetic algorithm is the core highway profile optimization system program,and the related data entry interface is designed.The fault tolerance of the program is designed.(5)Taking two high-grade highways in Jiangxi Province as experimental objects,the longitudinal section optimization results under different conditions were analyzed in detail to further verify the validity and practicability of the program.