This paper surveys some recent approaches using Computational Intelligence (namely Fuzzy Logic and Evolutionary Algorithms) for manufacturing system control. In particular, the paper focuses on approaches oriented toward the Multi-Agent System design paradigms. Furthermore, this paper summarizes the results of a simulation comparison between-two fuzzy multi-agent architectures for job flow control, differing for the degree of interactions between agents, on a detailed case study that was recently proposed in literature to benchmark distributed multi-agent control approaches.

Recent developments in the application of computational intelligence to multi-agent manufacturing control

NASO, David;MAIONE, Guido
2001

Abstract

This paper surveys some recent approaches using Computational Intelligence (namely Fuzzy Logic and Evolutionary Algorithms) for manufacturing system control. In particular, the paper focuses on approaches oriented toward the Multi-Agent System design paradigms. Furthermore, this paper summarizes the results of a simulation comparison between-two fuzzy multi-agent architectures for job flow control, differing for the degree of interactions between agents, on a detailed case study that was recently proposed in literature to benchmark distributed multi-agent control approaches.
10th IEEE International Conference on Fuzzy Systems
0-7803-7293-X
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11589/13787
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