基于遗传算法的列车节能运行惰行控制研究

本文建立了定时约束条件下地铁列车节能运行惰行控制优化模型,设计了实数遗传算法进行求解,在适应度函数中引入了运行时间惩罚因子.同时,将遗传算法嵌入到城市列车运行计算系统中,设计了惰行控制优化模块,实现了给定线路条件下站间最佳惰行点的自动计算,最后结合具体算例进行了仿真验证.仿真结果表明,实数编码的遗传算法能较好地解决惰行点布局问题,优化后的惰行控制方案使算例中列车运行能耗降低了10.99%.

Study on coast control of train movement for saving energy based-on genetic algorithm

In this paper,an optimization model for coast control of train movement to minimize energy consumption was developed.An algorithm to solve the problem based-on the real coding of GA（Genetic Algorithm） was described,with runningtime penalty taken into the fitness function.Based on the UTMCS（Urban Train Movement Calculation System）,an optimization module of coast control with GA was proposed to improve the UTMCS,which could calculate the best coasting points automatically under given lines.From the case analysis,the effectiveness of the designed algorithm had been proved.Simulation results indicated that the real coding of GA could be useful tools for finding the appropriate coasting points,and optimization coast strategy could effectively reduce energy consumption by 10.99 percent under the given case.