Improving Multi-agent Based Scheduling by Neurodynamic Programming

Scheduling problems, e.g., a job-shop scheduling, are classical NP-hard problems. In the paper a two level adaptation method is proposed to solve the scheduling problem in a dynamically changing and uncertain environment. It is applied to the heterarchical multi-agent architecture developed by Valck...

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Hauptverfasser:	Csáji, Balázs Csanád, Kádár, Botond, Monostori, László
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Control theory. Systems Exact sciences and technology Learning and adaptive systems Process control. Computer integrated manufacturing Software
Online-Zugang:	Volltext
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