摘  要全国铁路建设的快速发展,不仅提高了旅客出行的质量和促使人们的生活更加方便,同时也建立了一个有巨大的发展空间的铁路系统。信号系统是构成铁路系统的不可或缺的组成部分，是确保列车安全运行的基础。对于信号机的显示与布置问题，我们应该考虑三点重要因素：①快速完成信号布局合理；②减少信号的位置调整；③提高设计工作的效率和质量。本文对信号机的显示与布置出现的问题进行分析论证，并找出如何解决这些问题的办法。75964

本文首先介绍了信号机显示与设置的问题研究背景以及国内外研究现状。继而针对信号机显示与设置最优化的问题，经过分析论证，采用差分进化（DE）算法。DE算法凭借其三点优越性而获得广泛应用：①收敛性好；②模型简单；③容易实现，控制参数比较少。

近几年来DE算法的发展非常迅速，逐渐被更多的人关注。DE算法被用来研究分析越来越多的现实问题，比如信号机的显示与布置。由于实际生活中现实问题的错综复杂性，本文在DE算法的基础上，对其进行改进，主要是改进控制参数，以达到预期效果。

最后，本文通过对控制参数的不断改进，结果和预期结果一致，从而论证了该方法的优越性与可行性。

该论文有图8幅，表8个，参考文献21篇。

毕业论文关键词： 信号机  DE算法  罚函数

Signal display and arrangement based on different functional requirements

Abstract

The rapid development of the national railway construction can not only improve the quality of passengers’ travel, but also make people's life more convenient, and thus it establishes a huge space for the development of the railway system。 Signal system is an integral part of the rail system, and it is also the basis which ensures the safe operation of the train。 For the signal display and layout problem, we should consider three important factors: (1) rapid signal layout is reasonable; (2) reduce the signal position adjustment; (3) improve the efficiency and quality of design work。 This thesis analyzes the problem of signal display and arrangement, and finds the method that is able to solve this problem。

This thesis firstly introduces the research background and research status of the signal display and set at home and abroad。 In view of the characteristics of the signal display and set, the differential evolution algorithm is then adopted。 The DE algorithm is widely used because of its superiority in three aspects: (1) its convergence is desirable; (2) the mathematical model is simple; (3) it is easy to implement, and the control parameters is few。

The development of DE algorithm is very fast in recent years, and it has drawn more and more attention from researchers。 The DE algorithm is used to study more practical problems, such as signal display and layout。 Due to the complexities of real life real problems, the original DE algorithm is modified by adjusting its control parameters, which is helpful to achieve the desired effects。

Finally, this thesis adjusts the control parameters gradually, and the results and expected results are consistent, which demonstrates the superiority and feasibility of the method。

The paper has a figure 8, table 8, 21 references。

Key word： Signal machine  Differential Evolution Algorithm  Penalty function

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