期刊論文
| 學年 | 96 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2008-01-01 |
| 作品名稱 | Mining Gene Structures to Inject Artificial Chromosomes for Genetic Algorithm in Single Machine Scheduling Problems |
| 作品名稱（其他語言） | |
| 著者 | Pei-Chann Chang; Shih-Shin Chen; Chin-Yuan Fan |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Applied Soft Computing 8(1), p.767-777 |
| 摘要 | In this paper, a genetic algorithm with injecting artificial chromosomes is developed to solve the single machine scheduling problems. Artificial chromosomes are generated according to a probability matrix which is transformed from the dominance matrix by mining the gene structure of an elite base. A roulette wheel selection method is applied to generate an artificial chromosome by assigning genes onto each position according to the probability matrix. The higher the probability is, the more possible that the job will show up in that particular position. By injecting these artificial chromosomes, the genetic algorithm will speed up the convergence of the evolutionary processes. Intensive experimental results indicate that proposed algorithm is very encouraging and it can improve the solution quality significantly. |
| 關鍵字 | Genetic algorithm;Single machine scheduling;Total deviation;Dominance properties |
| 語言 | en |
| ISSN | 1872-9681 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 是 |
| 國別 | NLD |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/121439 ) |