會議論文
| 學年 | 87 |
|---|---|
| 學期 | 2 |
| 發表日期 | 1999-07-10 |
| 作品名稱 | Modulus genetic algorithm and its appliction to fuzzy system optimization |
| 作品名稱（其他語言） | 模數遺傳演算法及其在模糊系統最佳化之應用 |
| 著者 | Lin, Sinn-cheng |
| 作品所屬單位 | 淡江大學資訊與圖書館學系 |
| 出版者 | University of British Columbia |
| 會議名稱 | Intelligent Processing and Manufacturing of Materials, 1999. IPMM '99. Proceedings of the Second International Conference on |
| 會議地點 | Honolulu, United States |
| 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 |
| 關鍵字 | |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | |
| 研討會時間 | 19990710~19990715 |
| 通訊作者 | |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | Intelligent Processing and Manufacturing of Materials, 1999. IPMM '99. Proceedings of the Second International Conference on vol.1, pp.669-674 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/39988 ) |