基于mrcontent算法的FPRM电路面积优化

Jiahui Lu, Sheng-sheng Wang
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引用次数: 0

摘要

不同极性对应的FPRM电路面积是不同的,找到电路的最优极性以尽可能节省电路面积是一项非常重要的任务。为了更好地解决这一问题,本文提出了一种mrcontent优化算法。该算法在蝠鲼觅食算法的基础上增加了帐篷混沌映射,将两者结合起来增强了搜索能力,获得了更好的优化结果。通过对11个MCNC基准电路的测试和与其他算法的比较,证明了该算法对FPRM电路面积优化的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FPRM Circuit Area Optimization Based on MRFOtent Algorithm
The FPRM circuit area corresponding to different polarities varies, and it is a very important task to find the optimal polarity of the circuit to save circuit area when possible. In order to better solve the problem, an MRFOtent optimization algorithm is proposed in this paper. The algorithm adds tent chaos mapping to the manta ray foraging algorithm, and enhances the search capability by combining the two to achieve better optimization results. The efficiency of this algorithm for FPRM circuit area optimization is demonstrated by testing 11 MCNC Benchmark circuits and comparing with other algorithms.
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