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Proceedings of the 2nd International Symposium on Web Information Systems and Applications (WISA 2009)

Nanchang, China, May 22-24, 2009

Editors: Fei Yu, Jiexian Zeng, and Guangxue Yue

AP Catalog Number: AP-PROC-CS-09CN001

ISBN: 978-952-5726-00-8 (Print), 978-952-5726-01-5 (CD-ROM)

Page(s): 64-67

Using Niche Genetic Algorithm to Find Fuzzy Rules

           Yan Li

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Abstract

The genetic algorithm has been widely used in many fields as an easy robust global search and optimization method. This paper introduces a new approach to find fuzzy rules using niche genetic algorithms with elitist migrating operator. It uses binary coding scheme. In order to make search results stable, elitist migrating operator reserves good individuals into an elitist sub-population. The simulation result shows that this approach can find fuzzy rules with less compute complexity.

Index Terms

genetic algorithms; niche; fuzzy rule

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