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F
R. Filgueira, Singh, D. E., Calderón, A., and Carretero, J., CoMPI: Enhancing MPI Based Applications Performance and Scalability Using Run-Time Compression., in EUROPVM/MPI 2009.Espoo, Finland. September 2009, Espoo. Finland, 2009, vol. 5759/2009.
R. Filgueira, Klampanos, I., Tanimura, Y., and Atkinson., M., FAST: Flexible Automated Syncrhonization Transfer tool, in Proceedings of the Sixth International Workshop on Data-Intensive Distributed Computing Date, New York, NY, USA, 2014.
R. Filgueira, Singh, D. E., Pichel, J. C., Isaila, F., and Carretero, J., Data Locality Aware Strategy for Two-Phase Collective I/O, in VECPAR, 2008.
R. Filgueira, Atkinson, M., Bell, A., and Snelling, B., Varpy: A python library for volcanology and rock physics data analysis. EGU2014-3699. 2014.
J. Fernández, Han, L., Nuñez, A., Carretero, J., and van Hemert, J., Using architectural simulation models to aid the design of data intensive application, in The Third International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP 2009), Sliema, Malta, 2009, p. 163--168.
D. Fergusson, Hopkins, R., Romano, D., Vander Meer, E., and Atkinson, M., Distributed Computing Education, Part 1: A Special Case?, IEEE Distributed Systems Online, vol. 9, no. 6, pp. 0806-o6002, 2008.
D. Fergusson, Hopkins, R., Romano, D., Vander Meer, E., and Atkinson, M., Distributed Computing Education, Part 2: International Summer Schools, IEEE Distributed Systems Online, vol. 9, no. 7, pp. 0807-o7002, 2008.
D. Fergusson, Barbera, R., Giorgio, E., Fargetta, M., Sipos, G., Romano, D., Atkinson, M., and Vander Meer, E., Distributed Computing Education, Part 4: Training Infrastructure, Distributed Systems Online, vol. 9, no. 10, p. 6, 2008.
E
H. Evans, Atkinson, M. P., Brown, M., Cargill, J., Crease, M., Draper, S., Gray, P. D., and Thomas, R., The pervasiveness of evolution in GRUMPS software, Softw., Pract. Exper., vol. 33, pp. 99-120, 2003.
H. Evans, Dickman, P., and Atkinson, M., The GRUMPS Architecture: Run-time Evolution in a Large Scale Distributed System, in Proceedings of the Workshop on Engineering Complex Object-Oriented Solutions for Evolution (ECOOSE), held as part of OOPSLA 2001., 2001.
A. E. Eiben, van Hemert, J. I., Marchiori, E., and Steenbeek, A. G., Solving Binary Constraint Satisfaction Problems using Evolutionary Algorithms with an Adaptive Fitness Function, in Springer Lecture Notes on Computer Science, 1998, p. 196--205.
A. E. Eiben, van Hemert, J. I., Marchiori, E., and Steenbeek, A. G., Extended abstract: Solving Binary Constraint Satisfaction Problems using Evolutionary Algorithms with an Adaptive Fitness Function, in Proceedings of the Xth Netherlands/Belgium Conference on Artificial Intelligence (NAIC'98), 1998, p. 299--301.
A. E. Eiben, van der Hauw, J. K., and van Hemert, J. I., Graph Coloring with Adaptive Evolutionary Algorithms, Journal of Heuristics, vol. 4, p. 25--46, 1998.
A. E. Eiben, Elia, D., and van Hemert, J. I., Population dynamics and emerging features in AEGIS, in Proceedings of the Genetic and Evolutionary Computation Conference, 1999, p. 1257--1264.
A. E. Eiben and van Hemert, J. I., SAW-ing EAs: adapting the fitness function for solving constrained problems, in New ideas in optimization, D. Corne, Dorigo, M., and Glover, F., Eds. McGraw-Hill, London, 1999, p. 389--402.
J. Eggermont and van Hemert, J. I., Stepwise Adaptation of Weights for Symbolic Regression with Genetic Programming, in Proceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'00), 2000, p. 259--266.
J. Eggermont, Eiben, A. E., and van Hemert, J. I., Comparing genetic programming variants for data classification, in Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'99), 1999, p. 253--254.
J. Eggermont, Eiben, A. E., and van Hemert, J. I., A comparison of genetic programming variants for data classification, in Springer Lecture Notes on Computer Science, 1999, p. 281--290.
J. Eggermont, Eiben, A. E., and van Hemert, J. I., Adapting the Fitness Function in GP for Data Mining, in Springer Lecture Notes on Computer Science, 1999, p. 195--204.
J. Eggermont and van Hemert, J. I., Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems, in Springer Lecture Notes on Computer Science, 2001, p. 23--35.

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