Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박장현 | - |
dc.date.accessioned | 2017-08-03T04:57:29Z | - |
dc.date.available | 2017-08-03T04:57:29Z | - |
dc.date.issued | 2015-10 | - |
dc.identifier.citation | Proc. of The Third Intl. Conf. on Advances in Mechanical and Robotics Engineering - AMRE 2015 , Page. 26-27 | en_US |
dc.identifier.isbn | 978-1-63248-066-8 | - |
dc.identifier.uri | https://pdfs.semanticscholar.org/0a6b/bbc4f6ad105bbd47df8ca363d657d8c44357.pdf | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/28245 | - |
dc.description.abstract | In this paper, we present and solve a scheduling problem for a high-density robotic workcell under various working conditions. The genetic algorithm (GA) is employed to optimize tasks for scheduling of the multi-robot system. A new operation method for generating subsequent generations of GA, controlled mutation is introduced depending on the value of the objective function in order to help the algorithm get out of the local minimum. Several simulation graphs verify efficiency of the proposed algorithm. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IRED | en_US |
dc.subject | Multi-objective genetic algorithm | en_US |
dc.subject | High-density robot | en_US |
dc.subject | Scheduling | en_US |
dc.subject | MTSP | en_US |
dc.title | Task Scheduling for a Multi-Robot System using Genetic Algorithm | en_US |
dc.type | Article | en_US |
dc.relation.page | 26-27 | - |
dc.contributor.googleauthor | Park, Jahng Hyon | - |
dc.contributor.googleauthor | Jeong, Jinhan | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF AUTOMOTIVE ENGINEERING | - |
dc.identifier.pid | jpark | - |
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