Genetic fuzzy rule-based scheduling system for grid computing in virtual organizations-Reference-Cited by-同舟云学术

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Genetic fuzzy rule-based scheduling system for grid computing in virtual organizations

Published:2010-10-12 Issue:7 Volume:15 Page:1255-1271
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Prado R. P.,García-Galán S.,Yuste A. J.,Expósito J. E. Muñoz

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-010-0660-5.pdf

Reference59 articles.

1. Alcalá-Fdez J, Sánchez L, García S, del Jesus MJ, Ventura S, Garrell JM, Otero J, Romero C, Bacardit J, Rivas VM, Fernández JC, Herrera F (2009) Keel: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput 13(3):307–318

2. Booker LB, Goldberg DE, Holland JH (1989) Classifier systems and genetic algorithms. Artif Intell 40(1–3):235–282

3. Botta A, Lazzerini B, Marcelloni F, Stefanescu DC (2009) Context adaptation of fuzzy systems through a multi-objective evolutionary approach based on a novel interpretability index. Soft Comput 13(5):437–449

4. Casanova H, Zagorodnov D, Berman F, Legrand A (2000) Heuristics for scheduling parameter sweep applications in grid environments. In: HCW ’00, Proceedings of the 9th Heterogeneous Computing Workshop. IEEE Computer Society, Washington, DC, p 349

5. Casillas J, Carse B (2009) Special issue on genetic fuzzy systems: recent developments and future directions. Soft Comput 13(5):417–418

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