Multiprocessor Task Scheduling Based on GEO Metaheuristic


In this paper we propose a solution of a multiprocessor task scheduling problem with use of a new meta-heuristic inspired by a model of natural evolution called Generalized Extremal Optimization (GEO). It is inspired by a simple coevolutionary model based on a Bak-Sneppen model. One of advantages of the model is a simple implementation of potential… (More)


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@inproceedings{Switalski2008MultiprocessorTS, title={Multiprocessor Task Scheduling Based on GEO Metaheuristic}, author={Piotr Switalski and Franciszek Seredynski}, year={2008} }