The implementation of Genetic Algorithm and Routing Lee for PCB design optimization

The implementation of Genetic Algorithm and Routing Lee for PCB design optimization
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PCB设计优化中遗传算法和Routing Lee的实现

DOI：
10.1109/iac.2016.7905706
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发表时间：
2016
期刊：
2016 International Conference on Informatics and Computing (ICIC)
影响因子：
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通讯作者：
Niyoko Yuliawan
Niyoko Yuliawan
中科院分区：
--
文献类型：
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作者：
T. Badriyah;Fitri Setyorini;Niyoko Yuliawan

文献摘要

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放置组件和路由在设计PCB方面非常重要，尽管它们需要大量时间和精度。到目前为止可用的自动储藏器和自动路由器应用程序是专有的，因此无法自由开发。这项研究提出了与遗传算法和路由Lee算法一起优化PCB的设计。遗传算法会自动分配组件，而路由Lee算法可以在组件之间进行路由。
The placing components and routing are very important in designing PCB, although they require a lot of time and precision. Auto placer and auto router application that are available so far are proprietary and thus cannot be developed freely. This research proposes optimization design of PCB alongside with genetic algorithm and routing lee algorithm. The genetic algorithm allocates components automatically and Routing Lee algorithm does routes between components.