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Tuning parameters to improve a heuristic method: more and better solutions to an NP-hard real-time problem

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

The paper presents a tuned heuristic method to solve the NP-hard problem of assigning a set of preemptible tasks with placement, resource, communication, time and precedence constraints to a set of heterogeneous processors. Depending on the tuning parameters, two versions are described. They produce more and better (e.g. with a less loaded communication network) solutions than the untuned version. 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