Task scheduling on spacecraft by hybrid genetic algorithms

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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 http://hdl.handle.net/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

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