You are here

Publications

Export 674 results:
Filters: Author is van Hemert, J. I.  [Clear All Filters]
Conference Paper
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.
I. Juhos, Tóth, A., and van Hemert, J. I., Binary Merge Model Representation of the Graph Colouring Problem, in Springer Lecture Notes on Computer Science, 2004, p. 124--134.
J. I. van Hemert, Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation, in Springer Lecture Notes on Computer Science, 2002, p. 81--90.
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.
A. Defaweux, Lenaerts, T., van Hemert, J. I., and Parent, J., Complexity Transitions in Evolutionary Algorithms: Evaluating the impact of the initial population, in Proceedings of the Congress on Evolutionary Computation, 2005, p. 196--203.
J. I. van Hemert, Constraint Satisfaction Problems and Evolutionary Algorithms: A Reality Check, in Proceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'00), 2000, p. 267--274.
J. I. van Hemert and la Poutré, J. A., Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation, in LNCS, Birmingham, UK, 2004, vol. 3242, p. 690--699.
J. I. van Hemert and Jansen, M. L. M., An Engineering Approach to Evolutionary Art, in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), 2001, p. 177.
J. I. van Hemert, Evolutionary Computation in Constraint Satisfaction and Machine Learning --- An abstract of my PhD., in Proceedings of the Brussels Evolutionary Algorithms Day (BEAD-2001), 2001.
A. Defaweux, Lenaerts, T., and van Hemert, J. I., Evolutionary Transitions as a Metaphor for Evolutionary Optimization, in LNAI 3630, 2005, p. 342--352.
J. I. van Hemert, Evolving binary constraint satisfaction problem instances that are difficult to solve, in Proceedings of the IEEE 2003 Congress on Evolutionary Computation, 2003, p. 1267--1273.
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.
J. I. van Hemert, Van Hoyweghen, C., Lukschandl, E., and Verbeeck, K., A ``Futurist'' approach to dynamic environments, in Proceedings of the Workshops at the Genetic and Evolutionary Computation Conference, Dynamic Optimization Problems, 2001, p. 35--38.
I. Juhos, Tóth, A., and van Hemert, J. I., Heuristic Colour Assignment Strategies for Merge Models in Graph Colouring, in Springer Lecture Notes on Computer Science, 2005, p. 132--143.
I. Juhos and van Hemert, J. I., Improving Graph Colouring Algorithms and Heuristics Using a Novel Representation, in Springer Lecture Notes on Computer Science, 2006, p. 123--134.
J. I. van Hemert and Baldock, R. A., Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns, in Communications in Computer and Information Science, 2008, p. 347--361.
J. I. van Hemert and Bäck, T., Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction, in Springer Lecture Notes on Computer Science, 2002, p. 23--32.
J. I. van Hemert and Baldock, R. A., Mining spatial gene expression data for association rules, in Lecture Notes in Bioinformatics, 2007, p. 66--76.
J. I. van Hemert and Eiben, A. E., Mondriaan Art by Evolution, in Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'99), 1999, p. 291--292.

Pages