基于遗传算法的铁路纵断面优化研究

针对铁路纵断面优化问题,基于遗传算法建立铁路纵断面优化模型。研究结论:在初始铁路纵断面方案基础上,基于遗传算法进行纵断面自动优化,可以提高优化速度和优化结果;以变坡点里程及设计高程为优化设计变量,依据对纵断面设计内涵的分析,构建了遗传算法的多目标适应度函数;在种群多样性评价的基础上,确定选择、交叉和变异算子操作概率的自适应调整方法;在纵断面优化理论的研究基础上,利用VC.NET和ObjectARX2006编制了基于遗传算法的纵断面优化程序。

Research on Railway Route Profile Optimization Based on Genetic Algorithm

Focusing on the issue in railway route profile optimization,this paper established a railway route profile optimization model based on genetic algorithm. The conclusions and achievements of this research are as follows:( a) On the basis of the initial scheme of railway route profile,the efficiency and quality of railway route profile optimization can be improved by the use of genetic algorithm.( b) Taking the mileage and design elevation of the gradient change point as the variables of design optimization,and after analysis on route profile design connotation,this paper established a multi-object fitness function based on genetic algorithm.( c) In this paper,after evaluation on population diversity,a self-adaptation adjustment strategy of operational probability was determined in relation to selection operator,crossover operator and mutation operator.( d) On the basis of research on route profile optimization theory,a computer program for route profile optimization based on genetic algorithm was developed in this paper by the use of VC. NET and ObjectARX2006.