TY - JOUR AU - 박장현 DA - 2015/10 PY - 2015 SN - 978-1-63248-066-8 UR - https://pdfs.semanticscholar.org/0a6b/bbc4f6ad105bbd47df8ca363d657d8c44357.pdf UR - http://hdl.handle.net/20.500.11754/28245 AB - 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. PB - IRED KW - Multi-objective genetic algorithm KW - High-density robot KW - Scheduling KW - MTSP TI - Task Scheduling for a Multi-Robot System using Genetic Algorithm ER -