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Task Scheduling for a Multi-Robot System using Genetic Algorithm
- Authors
- 박장현
- Issue Date
- Oct-2015
- Publisher
- IRED
- Citation
- Third International Conference on Advances in Mechanical and Robotics Engineering, pp.26 - 27
- Indexed
- OTHER
- Journal Title
- Third International Conference on Advances in Mechanical and Robotics Engineering
- Start Page
- 26
- End Page
- 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.
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