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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, Evolving combinatorial problem instances that are difficult to solve, Evolutionary Computation, vol. 14, p. 433--462, 2006.
J. I. van Hemert, Property analysis of symmetric travelling salesman problem instances acquired through evolution, in Springer Lecture Notes on Computer Science, 2005, p. 122--131.
J. I. van Hemert and Bäck, T., Robust parameter settings for variation operators by measuring the resampling ratio: A study on binary constraint satisfaction problems, Journal of Heuristics, vol. 10, p. 629--640, 2004.
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 Urquhart, N. B., Phase transition properties of clustered travelling salesman problem instances generated with evolutionary computation, in LNCS, Birmingham, UK, 2004, vol. 3242, p. 150--159.
J. I. van Hemert and Solnon, C., A Study into Ant Colony Optimization, Evolutionary Computation and Constraint Programming on Binary Constraint Satisfaction Problems, in Springer Lecture Notes on Computer Science, 2004, p. 114--123.
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.
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, 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. 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.
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, 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.
J. I. van Hemert, De Creatieve Computer, AIgg Kennisgeving, vol. 13, p. 10--18, 2000.
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 Eiben, A. E., Mondriaan Art by Evolution, in Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'99), 1999, p. 291--292.
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 la Poutré, J. A., Exploiting Fruitful Regions in Dynamic Routing using Evolutionary Computation, in Studies in Computational Intelligence , vol. 161, F. Pereira Babtista and Tavares, J., Eds. Springer, 2009, p. 131--149.
J. I. van Hemert and Koetsier, J., Giving Computational Science a Friendly Face, Zero-In, vol. 1, no. 3, p. 12--13, 2009.