| タイトル | Scheduling Earth Observing Fleets Using Evolutionary Algorithms: Problem Description and Approach |
| 本文（外部サイト） | http://hdl.handle.net/2060/20020091594 |
| 著者（英） | Crawford, James; Morris, Robert; Lohn, Jason; Globus, Al; Clancy, Daniel |
| 著者所属（英） | NASA Ames Research Center |
| 発行日 | 2002-01-01 |
| 言語 | eng |
| 内容記述 | We describe work in progress concerning multi-instrument, multi-satellite scheduling. Most, although not all, Earth observing instruments currently in orbit are unique. In the relatively near future, however, we expect to see fleets of Earth observing spacecraft, many carrying nearly identical instruments. This presents a substantially new scheduling challenge. Inspired by successful commercial applications of evolutionary algorithms in scheduling domains, this paper presents work in progress regarding the use of evolutionary algorithms to solve a set of Earth observing related model problems. Both the model problems and the software are described. Since the larger problems will require substantial computation and evolutionary algorithms are embarrassingly parallel, we discuss our parallelization techniques using dedicated and cycle-scavenged workstations. |
| NASA分類 | Spacecraft Design, Testing and Performance |
| 権利 | No Copyright |
|
