基于自适应模糊遗传算法的XCS智能勘探方法

2006 IEEE Conference on Cybernetics and Intelligent Systems Pub Date : 2006-06-07 DOI:10.1109/ICCIS.2006.252271

A. Hamzeh, A. Rahmani, N. Parsa

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引用次数: 4

摘要

在本文中，我们提出了对前人工作中引入的智能勘探方法的扩展。IEM是XCS中用于调整勘探速率的智能勘探方法。本文采用学习模糊控制器代替静态模糊控制器，提高了IEM的性能。新系统被称为ieemii (iem2)，并在一些基准问题上与IEM和传统的XCS进行了比较

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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Intelligent Exploration Method to Adapt Exploration Rate in XCS, Based on Adaptive Fuzzy Genetic Algorithm

In this paper, we propose an extension to the intelligent exploration method which is introduced in our previous work. IEM is an intelligent exploration method that is used to tune the exploration rate in XCS. In this paper we improve the IEM's performance using a learning fuzzy controller instead of the static one in IEM. The new system is called IEMII (IEM 2) and is compared with the IEM and the traditional XCS in some benchmark problems

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2006 IEEE Conference on Cybernetics and Intelligent Systems

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