Diagram generation using genetic layout algorithms and orthogonal routing

A. Musat, A. Voinescu
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Abstract

A User-friendly, Innovative Layout and Routing Algorithm for Diagrams are used in a variety of fields such as FPGA design as a means to represent workflows and concepts and require dedicated algorithms which can produce easy to understand results. Available software is clunky, at times it can be really slow and will often result in layouts which are hard to read and understand. The main issue of layout algorithms is the sheer amount of data that a diagram (graph) can contain, which makes placing and routing in a limited space extremely difficult. We attempted to solve this problem by using a two phase software which tries to generate layouts which feel natural for the user. The first phase of the software will layout the diagrams using a genetic algorithm and constraints provided by the user, while the second phase will route the paths connecting the diagrams using orthogonal routing. Using this approach, we can provide layouts which suite the needs and preferences of any user, instead of providing generic representations.
图的生成采用遗传布局算法和正交路由
一个用户友好的,创新的布局和路由算法的图表被用于各种领域,如FPGA设计作为一种手段来表示工作流和概念,并需要专用的算法,可以产生易于理解的结果。可用的软件是笨拙的,有时它真的很慢,并且经常会导致难以阅读和理解的布局。布局算法的主要问题是图表可能包含的数据量,这使得在有限的空间中放置和路由非常困难。我们试图通过使用两阶段软件来解决这个问题,该软件试图生成用户感觉自然的布局。软件的第一阶段将使用遗传算法和用户提供的约束来布局图表,而第二阶段将使用正交路由来路由连接图表的路径。使用这种方法,我们可以提供适合任何用户需求和偏好的布局,而不是提供通用的表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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