基于级联遗传算法的模糊系统设计

Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97) Pub Date : 1997-04-13 DOI:10.1109/ICEC.1997.592378

H. Heider, T. Drabe

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引用次数: 13

摘要

提出了一种级联遗传算法，它能以最少的模糊集和规则自动生成高效的模糊系统。应用出现在复杂的系统中，这些系统很难手工设计和优化。对模糊控制器设计的实验表明，该算法优于传统的遗传算法。

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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Fuzzy system design with a cascaded genetic algorithm

A cascaded genetic algorithm is presented which automatically generates very efficient fuzzy systems with a minimal number of fuzzy sets and rules. Applications arise with complex systems which are hard to design and optimize manually. Tests on fuzzy controller design show that the proposed algorithm is superior to a conventional genetic algorithm.

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来源期刊

Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97)

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