dc.contributor.author |
Jeong, I |
en |
dc.contributor.author |
Papavassilopoulos, G |
en |
dc.contributor.author |
Bayard, D |
en |
dc.date.accessioned |
2014-03-01T02:48:59Z |
|
dc.date.available |
2014-03-01T02:48:59Z |
|
dc.date.issued |
2000 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/34194 |
|
dc.subject |
Genetic Algorithm |
en |
dc.subject |
Online Scheduling |
en |
dc.subject |
Scheduling Algorithm |
en |
dc.subject |
Task Scheduling |
en |
dc.subject |
Near Real Time |
en |
dc.title |
On-Board Task Scheduling Algorithm for Spacecraft |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/ROBOT.2000.844759 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/ROBOT.2000.844759 |
en |
heal.publicationDate |
2000 |
en |
heal.abstract |
An on-board scheduling algorithm is developed for scheduling tasks on a spacecraft. For off-line scheduling, a heuristic routine generates a feasible schedule and order-based genetic algorithms improve the schedule. For online scheduling, two heuristic routines generate a good schedule in near real-time. The on-board scheduling algorithm is applied to a large problem of 1000 tasks, 100 resources and 365 time |
en |
heal.journalName |
International Conference on Robotics and Automation |
en |
dc.identifier.doi |
10.1109/ROBOT.2000.844759 |
en |