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Artificial Bee Colony Algorithm—A Novel Tool for VLSI Placement

机译:人造蜜蜂殖民地算法 - 一种用于VLSI放置的新型工具

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The paper discusses a modified algorithm based on the bees' behavior in nature. We suggest to apply this algorithm for solving the element placement problem—one of the most difficult problem in the VLSI design. This problem belongs to the NP-class problem that is there are no precise methods to solve this problem. Also we formulate the placement problem and choose an optimization criterion. The developed artificial bee colony optimization (ABC) algorithm obtains optimal and quasi-optimal solutions during polynomial time. The distinguish feature of the algorithm is to split search space into subareas. After, we activate optimization process for each subarea parallel. To compare obtained results with known analogous algorithms we developed software which allows to carry out experiments on the basis of IBM benchmarks. Conducted experiments shown that the ABC algorithm is better than the other algorithms an average of 8 %.
机译:本文讨论了基于蜜蜂行为的修改算法。我们建议应用该算法来解决元素放置问题 - VLSI设计中最困难的问题之一。这个问题属于NP类问题,即没有精确的方法来解决这个问题。我们还制定了放置问题并选择优化标准。开发的人造蜜蜂菌落优化(ABC)算法在多项式时间期间获得最佳和准优选解决方案。算法的区分特征是将搜索空间分成蛛网。之后,我们激活每个子区域并行的优化过程。与已知的类似算法进行比较我们开发的软件,该结果允许在IBM基准测试的基础上进行实验。进行实验表明,ABC算法比其他算法更好,平均值为8%。

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