Task Scheduling for a Multi-robot system using Genetic Algorithm

JAHNG, HYON PARK and JINHAN, JEONG (2015) Task Scheduling for a Multi-robot system using Genetic Algorithm. In: Third International Conference on Advances in Mechanical and Robotics Engineering- AMRE 2015, 10-11 October, 2015, Zurich, Switzerland.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Multi-objective genetic algorithm, High-density robot, Scheduling, MTSP
Depositing User: Mr. John Steve
Date Deposited: 17 Apr 2019 12:28
Last Modified: 17 Apr 2019 12:28
URI: http://publications.theired.org/id/eprint/1332

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