會議論文
| 學年 | 94 |
|---|---|
| 學期 | 1 |
| 發表日期 | 2005-09-30 |
| 作品名稱 | Immune Based Evolutionary Algorithm with Enhanced Expression Strategy for Pareto Optimization |
| 作品名稱（其他語言） | |
| 著者 | Shih, C. J.; Kuan, T. L.; Deng, C. J.; Wang, Z. Y. |
| 作品所屬單位 | 淡江大學機械與機電工程學系 |
| 出版者 | |
| 會議名稱 | 中華民國第十三屆模糊理論及其應用會議=2005 the 13th National Conference on Fuzzy Theory and Its Applications |
| 會議地點 | 高雄, 臺灣 |
| 摘要 | This paper introduces a global evolutionary algorithm based on the concept of biological immune system that directly treats constraints for multi-objective engineering optimization problems. The development of optimization algorithm applied the cycle of affinity-maturation principle in the immune system that contains repeated activation, proliferation and differentiation. An enhanced expression strategy is utilized for handling constraints to improve the solution performance. The designs of Pareto front can be generated in a single simulation. All computational works completed in this paper used real-number-coded representation for genes evolution that efficiently applied on general engineering designs. |
| 關鍵字 | Evolutionary algorithm;Immune system;Engineering optimization;Multi-objective optimization |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國內 |
| 校內研討會地點 | |
| 研討會時間 | 20050930~20051001 |
| 通訊作者 | |
| 國別 | TWN |
| 公開徵稿 | Y |
| 出版型式 | 紙本 |
| 出處 | 中華民國第十三屆模糊理論及其應用會議論文集=Proceedings of 2005 the 13th National Conference on Fuzzy Theory and Its Applications，6p. |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/96433 ) |