Multi-agent system for dynamic scheduling
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International Joint Conference on Neural Networks (IJCNN), Glasgow
Abstract
This paper proposes a flexible manufacturing system
based on intelligent computational agents. A Multi-Agent System
composed of 4 types of reactive agents was designed to control the
operation of a real implementation in the Intelligent Automation
Lab at Instituto Superior Tecnico. This implementation was ´
based and constructed analogously to a known benchmark, AIPPRIMECA. The agents were modelled using Petri nets and agent
communications were defined through the combination of FIPA
Interaction Protocols. The system was tested under the conditions of static and dynamic scenarios, having its performance
validated whenever possible by comparison with results from a
Potential Fields Approach in the same benchmark. Overall, the
performance exhibited by the proposed MAS was slightly better
and it is worth highlighting the simple behaviour of each agent
and ability to respond in real-time to all the dynamic scenarios
tested.
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Citation
FIRME, B., LOPES, G., MARTINS, M., COITO, T., VIEGAS, J., SOUSA, J., REIS, J., FIGUEIREDO, J., VIEIRA, S. [2020], "Multi-agent system for dynamic scheduling" [2020] International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020, pp. 1-8, https://doi.org/10.1109/IJCNN48605.2020.9207055