| タイトル | Deep Space Network Scheduling Using Evolutionary Computational Methods |
| 著者（英） | Guillaume, Alexandre; Terrile, Richard J.; Wang, Yeou-Fang; Lee, Seugnwon |
| 著者所属（英） | Jet Propulsion Lab., California Inst. of Tech. |
| 発行日 | 2007-03-03 |
| 言語 | eng |
| 内容記述 | The paper presents the specific approach taken to formulate the problem in terms of gene encoding, fitness function, and genetic operations. The genome is encoded such that a subset of the scheduling constraints is automatically satisfied. Several fitness functions are formulated to emphasize different aspects of the scheduling problem. The optimal solutions of the different fitness functions demonstrate the trade-off of the scheduling problem and provide insight into a conflict resolution process. |
| NASA分類 | Statistics and Probability |
| 権利 | Copyright |
|
