Abstract
The recent availability of cheap Beowulf clusters has generated much interest for Parallel and Distributed Evolutionary Computations (PDEC) [1]. Another often neglected source of CPU power for PDEC are networks of PCs, in many case very powerful workstations, that run idle each day for long periods of time. To exploit efficiently both Beowulfs and networks of heterogeneous workstations we argue that the classic master-slave distribution model is superior to the currently more popular island-model [1].
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References
E. Cantú-Paz. Efficient and accurate parallel genetic algorithms. Kluwer Academic Publishers, Boston, MA, USA, 2000.
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© 2003 Springer-Verlag Berlin Heidelberg
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Gagné, C., Parizeau, M., Dubreuil, M. (2003). The Master-Slave Architecture for Evolutionary Computations Revisited. In: Cantú-Paz, E., et al. Genetic and Evolutionary Computation — GECCO 2003. GECCO 2003. Lecture Notes in Computer Science, vol 2724. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45110-2_33
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DOI: https://doi.org/10.1007/3-540-45110-2_33
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