Abstract
In this paper we present one of numerous possible applications multi- agent systems — using them to resolve scheduling problem of production systems. We consider a large problem, which can be decomposed to smaller sub-problems and every individual one may be resolved as more efficiently as whole initial problem. We implement also several mechanisms to decomposition and coordination between agents in one level or between themselves in whole system. Our experiments analyze a relation between performances of multi-agent systems to achieve a feasible result and agents’ methods coordination or even a type of agent we have considered.
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References
Montgomery, T. and Durfee, E.: A hierarchical protocol for coordinating multi-agent behaviours. In Proceeding of the Eighth National Conference on AI, 1990.
Rauber, T. and Runger, G.: Compiler support for task scheduling in hierarchical execution models. In Journal of Systems Architecture 45, 483–503, 1998.
Collins, P. and Shepherdson, J.: Process management using intelligent workflow systems.
Wooldrige, M. and Jennings, N. R.: Intelligent agents: Theory and practice. The knowledge engineering review, 10; 115–152, 1995.
Chaib, B., Draa, Moulin, B.: Trends in distributed Artificial Intelligence; Artificial Intelligence review, Vol. 6, No. 1, 1992, p 35–66.
Geneste, L. and Domenech, J.: Evalution of job-shop scheduling heuristic in workshop subject to disturbances. In Proc. CIMAT 96, ENSIEG-INPG, France 1996, p. 9–13.
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© 2001 Springer-Verlag Berlin Heidelberg
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Frankovic, B., Dang, T.T. (2001). Scheduling of Production Using the Multi-agent Approach by Hierarchical Structure. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_69
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DOI: https://doi.org/10.1007/3-540-45517-5_69
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