會議論文
| 學年 | 106 |
|---|---|
| 學期 | 1 |
| 發表日期 | 2017-10-11 |
| 作品名稱 | An improved design of program representation for genetic programming |
| 作品名稱（其他語言） | |
| 著者 | F.-C. Chang; H.-C. Huang |
| 作品所屬單位 | |
| 出版者 | |
| 會議名稱 | The 18th International Symposium on Advanced Intelligent Systems |
| 會議地點 | Daegu, Republic of Korea |
| 摘要 | Although genetic programming (GP) is derived from genetic algorithm (GA), there are issues that prevent GP being as efficient as GA. The validity of a generated program, the design of ephemeral constants, and the empirical considerations of GP parameters are part of the issues affecting the convergence of a GP process. Based on many experimental results, an improved GP scheme is proposed in this paper. The design of the program representation and the storage of the computation result(s) ensure that a program is both structurally and behaviorally valid. Empirical considerations are also discussed, and a few guidelines of setting GP parameters are derived from the experimental observations. |
| 關鍵字 | Genetic programming;GP |
| 語言 | en_US |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | 無 |
| 研討會時間 | 20171011~20171014 |
| 通訊作者 | |
| 國別 | KOR |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | 19-24 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112561 ) |