基于多目标混沌遗传算法的列车控制策略优化

为得到一组满意的行车控制策略,构建了列车运行多目标模型,并以列车运行动力学模型为基础求得列车局部运行控制策略制定方法。使用基于混沌优化的多目标遗传算法对列车控制策略进行优化研究,以相位转换点作为基因序列,多个基因组成染色体形成一套控制策略。使用混沌初始化种群,结合精英保留策略,增加了种群的多样性,并提高算法收敛能力。最后采用Matlab软件仿真验证了方法的可行性及有效性。

Train Control Strategy Optimization Based on Multi-objective Chaotic Genetic Algorithm

In order to get satisfying train control strategy, established a multi-objective model. Found the method for constitute train control strategy based on train dynamics model, used operation was established with train dynamics model. Used chaotic optimization based multi-objective optimization genetic algorithm to optimize strategy of train control. Phase transition point as gene sequences in GA, each chromosome formed by genes composes a set of control strategy, using the chaos to initialize population combines the elitist preserve strategy, the population diversity has improved and the convergence ability of algorithm has enhanced. At last the feasibility and effectiveness was proved with the results simulated on Matlab.