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H. Evans, P. Dickman, and M. Atkinson, “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.

H. Evans et al., “The pervasiveness of evolution in GRUMPS software”, Softw., Pract. Exper., vol. 33, pp. 99-120, 2003.

A. E. Eiben, J. K. van der Hauw, and J. I. van Hemert, “Graph Coloring with Adaptive Evolutionary Algorithms”, Journal of Heuristics, vol. 4, p. 25--46, 1998.

A. E. Eiben and J. I. van Hemert, “SAW-ing EAs: adapting the fitness function for solving constrained problems”, in New ideas in optimization, D. Corne, M. Dorigo, and F. Glover McGraw-Hill, London, 1999, p. 389--402.

A. E. Eiben, D. Elia, and J. I. van Hemert, “Population dynamics and emerging features in AEGIS”, in Proceedings of the Genetic and Evolutionary Computation Conference, 1999, p. 1257--1264.

A. E. Eiben, J. I. van Hemert, E. Marchiori, and A. G. Steenbeek, “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, J. I. van Hemert, E. Marchiori, and A. G. Steenbeek, “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.

J. Eggermont and J. I. van Hemert, “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, A. E. Eiben, and J. I. van Hemert, “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 and J. I. van Hemert, “Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems”, in Springer Lecture Notes on Computer Science, 2001, p. 23--35.

J. Eggermont, A. E. Eiben, and J. I. van Hemert, “A comparison of genetic programming variants for data classification”, in Springer Lecture Notes on Computer Science, 1999, p. 281--290.

J. Eggermont, A. E. Eiben, and J. I. van Hemert, “Adapting the Fitness Function in GP for Data Mining”, in Springer Lecture Notes on Computer Science, 1999, p. 195--204.