Title | ||
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Recent developments in the application of computational intelligence to multi-agent manufacturing control |
Abstract | ||
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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 the literature to benchmark distributed multi-agent control approaches. |
Year | DOI | Venue |
---|---|---|
2001 | 10.1109/FUZZ.2001.1009126 | Fuzzy Systems, 2001. The 10th IEEE International Conference |
Keywords | Field | DocType |
distributed control,fuzzy control,fuzzy logic,genetic algorithms,manufacturing processes,multi-agent systems,computational intelligence,distributed control,evolutionary algorithms,fuzzy control,fuzzy logic,job flow control,manufacturing system,multiple agent system | Fuzzy electronics,Intelligent control,Neuro-fuzzy,Computational intelligence,Evolutionary algorithm,Computer science,Fuzzy logic,Multi-agent system,Artificial intelligence,Fuzzy control system,Machine learning | Conference |
Volume | Citations | PageRank |
2 | 3 | 0.40 |
References | Authors | |
15 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
D. Naso | 1 | 264 | 21.72 |
Guido Maione | 2 | 54 | 12.37 |