Modulus genetic algorithm and its appliction to fuzzy system optimization

doi:10.1109/IPMM.1999.792573

淡江大學機構典藏 > 文學院 > 資訊與圖書館學系暨研究所 > 會議論文 > Item 987654321/39988

請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/39988

題名:	Modulus genetic algorithm and its appliction to fuzzy system optimization
其他題名:	模數遺傳演算法及其在模糊系統最佳化之應用
作者:	Lin, Sinn-cheng
貢獻者:	淡江大學資訊與圖書館學系
日期:	1999-07
上傳時間:	2010-01-27 16:55:29 (UTC+8)
出版者:	University of British Columbia
摘要:	The conventional genetic algorithm encodes the searched parameters as binary strings. After applying the basic genetic operators such as reproduction, crossover and mutation, a decoding procedure is used to convert the binary strings to the original parameter space. As the result, such an encoding/decoding procedure leads to considerable numeric errors. This paper proposes a new algorithm called modulus genetic algorithm (MGA) that uses the modulus operation to resolve this problem. In the MGA, the encoding/decoding procedure is not necessary. It has the following advantages: 1) the evolution can be speeded up; 2) the numeric truncation error can be avoided; 3) the precision of solution can be increased. The proposed MGA is applied to resolve the key problem of fuzzy inference systems-rule acquisition. The fuzzy system with MGA as learning mechanism forms an ?ntelligent fuzzy system?? Based on the proposed approach, the fuzzy rule base can be self-extracted and optimized
關聯:	Intelligent Processing and Manufacturing of Materials, 1999. IPMM '99. Proceedings of the Second International Conference on vol.1, pp.669-674
DOI:	10.1109/IPMM.1999.792573
顯示於類別:	[資訊與圖書館學系暨研究所] 會議論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
index.html		0Kb	HTML	315	檢視/開啟
Modulus Genetic Algorithm.pdf		389Kb	Adobe PDF	393	檢視/開啟

在機構典藏中所有的資料項目都受到原著作權保護.

TAIR相關文章

資料載入中.....