Name
Abstract | ||
|---|---|---|
In this paper, we foresee the use of Multi-Agent Systems for supporting dynamic and distributed scheduling in Manufacturing Systems. We also envisage the use of Autonomic properties in order to reduce the complexity of managing systems and human interference. By combining Multi-Agent Systems, Autonomic Computing, and Nature Inspired Techniques we propose an approach for the resolution of dynamic scheduling problem, with Case-based Reasoning Learning capabilities. The objective is to permit a system to be able to automatically adopt/select a Meta-heuristic and respective parameterization considering scheduling characteristics. From the comparison of the obtained results with previous results, we conclude about the benefits of its use. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CEC.2010.5586081 | IEEE Congress on Evolutionary Computation |
Keywords | Field | DocType |
case-based reasoning,distributed processing,fault tolerant computing,manufacturing systems,multi-agent systems,production engineering computing,CBR learning,autonomic computing,case-based reasoning,distributed scheduling,dynamic scheduling,manufacturing system,multiagent system,nature inspired technique,self-optimization method | Autonomic computing,Job shop scheduling,Scheduling (computing),Computer science,Manufacturing systems,Multi-agent system,Interference (wave propagation),Artificial intelligence,Case-based reasoning,Dynamic priority scheduling,Machine learning,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-4244-6909-3 | 1 | 0.39 |
References | Authors | |
12 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ivo Pereira | 1 | 12 | 5.10 |
| Ana Maria Madureira | 2 | 30 | 5.54 |