This work deals with the design of horizontal alignments (HAs) for its application in intelligent civil systems. Two consecutive tasks are performed: the random generation of admissible horizontal alignments (AHAs; alignments verifying some geometric constraints set in advance) and the optimal design of layouts joining two given points. A rigorous mathematical analysis of the first task leads to a novel algorithm for random generation of alignments, which is used to develop the global optimization method proposed for the second task. The usefulness of this approach is shown on some practical applications. First, two problems with applications in robotics, pipe layout design, and forest road design are solved in realistic situations. Next, the random generation of AHAs in mountainous terrain is addressed. Finally, the model is extended to 3D alignments and a real case study is presented, designing a bypass on the N-640 Spanish national road, surrounding the urban area of Monterroso.

中文翻译：

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一种用于优化布局设计的可允许水平对齐的随机生成算法

这项工作涉及水平线形 (HA) 的设计，以便在智能民用系统中应用。执行两个连续的任务：随机生成允许的水平对齐（AHA；对齐验证预先设置的一些几何约束）和连接两个给定点的布局的优化设计。对第一个任务的严格数学分析导致​​了一种用于随机生成对齐的新算法，该算法用于开发为第二个任务提出的全局优化方法。在一些实际应用中显示了这种方法的有用性。首先，在现实情况下解决了机器人技术、管道布局设计和森林道路设计中的两个应用问题。接下来，解决山区地形中 AHA 的随机生成问题。最后，