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A new automated design and optimization method of CMOS logic circuits based on Modified Imperialistic Competitive Algorithm

机译:基于改进的帝国竞争算法的CMOS逻辑电路自动优化设计新方法

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This paper proposes a novel evolutionary approach based on modified Imperialist Competitive Algorithm for combinational logic circuits designing and optimization. The Imperialist Competitive Algorithm operates on real values and is not applicable to logic circuits optimization problems. So a modified version of ICA is proposed to overcome this shortcoming. Modification of the algorithm depends on random cell replacement between Imperialist and its colonies as assimilation policy. Also a multi-objective evaluation mechanism in the form of a weighted cost function is introduced to obtain optimized circuits in case of circuit area and propagation delay. To evaluate the effectiveness of this method some general benchmark circuits are used in which the circuits with fewer logic cells (minimized space) and lower propagation delay are obtained. The simulation results of our proposed method are compared with some conventional and heuristic methods. Simulation results show that our proposed method significantly improves the performance factor which represents both circuit area and propagation delay.
机译:本文提出了一种基于改进的帝国主义竞争算法的进化方法,用于组合逻辑电路的设计和优化。帝国主义竞争算法对实际值起作用,不适用于逻辑电路优化问题。因此,提出了ICA的修改版本以克服此缺点。该算法的修改取决于帝国主义者及其殖民地之间作为同化策略的随机单元格替换。还引入了加权成本函数形式的多目标评估机制,以在电路面积和传播延迟的情况下获得优化的电路。为了评估该方法的有效性,使用了一些通用基准电路,其中获得了具有较少逻辑单元(最小空间)和较低传播延迟的电路。将我们提出的方法的仿真结果与一些常规和启发式方法进行了比较。仿真结果表明,我们提出的方法大大提高了代表电路面积和传播延迟的性能因子。

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