FUGA:一个模糊遗传模拟电路优化核

Proceedings of the 11th Annual conference on Genetic and evolutionary computation Pub Date : 2009-07-08 DOI:10.1145/1569901.1570156

Pedro Sousa, C. Duarte, N. Horta

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摘要

本文介绍了一种新颖的模拟电路设计优化内核。该方法基于DOE方法生成定性推理的模糊模型。然后在标准遗传算法实现中使用这些模型，通过结合由模糊模型表示的设计知识来增强搜索。讨论了一组已知的模拟电路结构所达到的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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FUGA: a fuzzy-genetic analog circuit optimization kernel

This paper describes an innovative analog circuit design optimization kernel. The new approach generates fuzzy models for qualitative reasoning based on a DOE approach. The models are then used within a standard genetic algorithm implementation enhancing the search by incorporating design knowledge represented by the fuzzy models. The achieved performance is discussed for a set of well known analog circuit structures.

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Proceedings of the 11th Annual conference on Genetic and evolutionary computation

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