Multiprocessor Task Scheduling Based on GEO Metaheuristic

Abstract

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)

Topics

6 Figures and Tables

Cite this paper

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