利用文化算法设计电子电路

Xuesong Yan, Kang Wang, Jian Jin, Qingzhong Liang, Chenyu Hu
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引用次数: 9

摘要

这项工作研究了文化算法在进化电子学领域的应用。文化算法是一种受文化进化过程启发的进化模型,它显示出许多优秀的特点,并成功地解决了一些复杂的问题。基于个体进化所处的种群空间,构建信念空间,提取并利用进化过程中有效的隐式信息。本文提出了设计电路的新方法,并介绍了电路的编码方式:染色体、遗传算子和适应度函数。实例分析表明,该方法是有效的,实验结果表明,新方法取得了较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing electronic circuits using Cultural Algorithms
This work investigates the application of cultural algorithms in the field of evolutionary electronics. Cultural Algorithms is an evolutionary model inspired by the cultural evolution process which shows many excellent characteristics and has succeeded in solving some complicated problems. Based on the population space in which individual evolves, the belief space is constructed, in which effective implicit information during the evolution process are abstracted and utilized. We propose the new means for designing electronic circuits and introduce the encoding of the circuit as a chromosome, the genetic operators and the fitness function. For the case studies, this means has proved to be efficient and the experiment results show that the new means have got the better results.
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