Task scheduling on spacecraft by hybrid genetic algorithms

Jeong, I; Papavassilopoulos, G; Bayard, D

dc.contributor.author	Jeong, I	en
dc.contributor.author	Papavassilopoulos, G	en
dc.contributor.author	Bayard, D	en
dc.date.accessioned	2014-03-01T02:41:38Z
dc.date.available	2014-03-01T02:41:38Z
dc.date.issued	1999	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30569
dc.subject	Genetic Algorithm	en
dc.subject	Hybrid Algorithm	en
dc.subject	Hybrid Approach	en
dc.subject	Hybrid Genetic Algorithm	en
dc.subject	Task Scheduling	en
dc.subject	Near Real Time	en
dc.subject	Time Varying	en
dc.title	Task scheduling on spacecraft by hybrid genetic algorithms	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ROBOT.1999.770017	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ROBOT.1999.770017	en
heal.publicationDate	1999	en
heal.abstract	A genetic algorithm is developed for scheduling task on a spacecraft having constrained resources. Due to the complex nature of the constraints, it is necessary to take a hybrid approach where the genetic algorithm is combined with a decoder routine to generate feasible solutions. The performance of the hybrid algorithm is demonstrated by example. Results are very encouraging, demonstrating an	en
heal.journalName	International Conference on Robotics and Automation	en
dc.identifier.doi	10.1109/ROBOT.1999.770017	en