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Efficient Approach for Heuristic Algorithm

机译:启发式算法的有效方法

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摘要

Partitioning algorithms like other Physical design steps comes under the category of NP-complete mathematical problems with the disadvantage that time required to solve them increases with the size of the problem. Heuristic algorithms are used for such problems such as Kernighan Lin algorithm. In this paper, a novel GA based algorithm is proposed which improves the efficiency without degradation of efficiency, area, propagation, delay etc. The complexity issue is resolved as GA reduces the complexity globally searching for the solution.
机译:像其他物理设计步骤一样,分区算法也属于NP完全数学问题的范畴,其缺点是解决这些问题所需的时间会随着问题的大小而增加。启发式算法用于诸如Kernighan Lin算法之类的问题。本文提出了一种基于遗传算法的新算法,可以在不降低效率,面积,传播,时延等因素的前提下提高效率。

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