Research on optimizing scheme of neutral section based on genetic algorithm

With the increasing of railway operating speed level, neutral section has become one of the main factors which restrict train´s speed and the density of railway operation. This paper mainly focuses on the relationship between Neutral Section scheme and train´s runtime. Under the analysis of the influence on train operation by different positions of neutral section, local optimization rules are given. Then, genetic algorithm is introduced in the optimizing problem of neutral section schema, neutral section´s kilometer post of each plan is taken as an individual, chromosomes of sequential list are set up, and single - point crossover and deletion mutation methods are taken into consideration. At last, software on neutral section optimizing schema of electric railway is developed based on VS2008/MFC, which is applied for the optimization of the practice lines. The comparison result with current scheme verified the correctness and the practicality of the theory.