进化模糊机器人的可进化性测量

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600) Pub Date : 2002-05-12 DOI:10.1109/CEC.2002.1006227

Seung-Ik Lee, Sung-Bae Cho

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摘要

本文阐述了用遗传算法进化模糊控制器规则的进化自适应过程。进化活动和模式分析用于评估和分析进化。分析表明，模糊规则的进化是自适应的，最终的模糊规则是由前几代的自适应规则进化而来的。

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Measuring evolvability in evolutionary fuzzy robotics

This paper illustrates the evolutionary adaptive process of the rules of a fuzzy controller evolved by a genetic algorithm. Evolutionary activity and schema analysis are used to evaluate and analyze the evolution. The analysis shows that the evolution has been adaptive and final fuzzy rules have evolved from adaptive ones of earlier generations.

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Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)

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