Learning algorithms for scheduling using knowledge based model

Authors:
Ewa Dudek-Dyduch;Tadeusz Dyduch
Affiliations:
Institute of Automatics, Poland;Institute of Computer Science, AGH University of Science and Technology, Krakow
Venue:
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Year:
2006

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Abstract

The aim of the paper is to present a conception of learning algorithms for discrete manufacturing processes control. A general knowledge based model of a vast class of discrete manufacturing processes (DMP) is given. The model is a basis for the method of the synthesis of intelligent, learning algorithms that use information on the process gained in previous iterations as well as an expert knowledge. To illustrate the presented ideas, the scheduling algorithm for a special NP-hard problem is given.