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Task Scheduling for a Multi-Robot System using Genetic Algorithm

Title
Task Scheduling for a Multi-Robot System using Genetic Algorithm
Author
박장현
Keywords
Multi-objective genetic algorithm; High-density robot; Scheduling; MTSP
Issue Date
2015-10
Publisher
IRED
Citation
Proc. of The Third Intl. Conf. on Advances in Mechanical and Robotics Engineering - AMRE 2015 , Page. 26-27
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.
URI
https://pdfs.semanticscholar.org/0a6b/bbc4f6ad105bbd47df8ca363d657d8c44357.pdfhttp://hdl.handle.net/20.500.11754/28245
ISBN
978-1-63248-066-8
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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