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Design of a learning fuzzy production system to solve an NP-hard real-time assignment problem

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4 Author(s)
Orozco, J. ; Inst. de Ciencias e Ingenieria de Computacion, Univ. Nacional del Sur, Bahia Blanca, Argentina ; Cayssials, R. ; Santos, J. ; Ferro, E.

This paper presents the design of a learning fuzzy production system to solve an NP-hard problem consisting of a set of real-time preemptible tasks to be assigned to a set of heterogeneous processors, with placement, resource, communications and time constraints. Time to obtain the first solution and the number of solutions found for different known problems are given

Published in:

Real-Time Systems, 1996., Proceedings of the Eighth Euromicro Workshop on

Date of Conference:

12-14 Jun 1996