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Knowledge-based genetic algorithm for layer assignment

机译:基于知识的遗传算法进行层分配

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摘要

Layer assignment is an important post-layout optimization technique in very large scale integrated circuit (VLSI) layout automation. It re-assigns wire segments in a routing solution to appropriate layers to achieve certain optimization objectives. The paper focuses on investigating the layer assignment problem with application to via minimization, which is known to be NP-complete. A knowledge based genetic algorithm for the layer assignment problem is proposed, with the aim of utilizing domain specific knowledge to speed up the process of evolution and to improve the quality of solutions. Experimental results show that this knowledge based genetic algorithm can consistently produce the same or better results than a heuristic algorithm and a traditional genetic algorithm
机译:在超大规模集成电路(VLSI)布局自动化中,层分配是一项重要的布局后优化技术。它将布线解决方案中的线段重新分配给适当的层,以实现某些优化目标。本文着重于研究层分配问题以及通过最小化应用于NP的问题。提出了一种基于知识的遗传算法用于层分配问题,目的是利用特定领域的知识来加速演化过程并提高解的质量。实验结果表明,这种基于知识的遗传算法能够比启发式算法和传统遗传算法持续产生相同或更好的结果。

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