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A. Voss, Mascord, M., Fraser, M., Jirotka, M., Procter, R., Halfpenny, P., Fergusson, D., Atkinson, M., Dunn, S., Blanke, T., Hughes, L., and Anderson, S., e-Research Infrastructure Development and Community Engagement, in All Hands Meeting 2007, Nottingham, UK, 2007.
C. Di Chio, Giacobini, M., and van Hemert, J., European Graduate Student Workshop on Evolutionary Computation. 2008.
M. Giacobini and van Hemert, J., European Graduate Student Workshop on Evolutionary Computation. Budapest, Hungary, 2006.
M. Giacobini and van Hemert, J., European Graduate Student Workshop on Evolutionary Computation. Valencia, Spain, 2007.
L. Vaccari, Shvaiko, P., Pane, J., Besana, P., and Marchese, M., An evaluation of ontology matching in geo-service applications, Geoinformatica, pp. 1-36, 2011.
J. van Hemert, Evolutionary Computation and Constraint Satisfaction, J. Kacpryk and Pedrycz, W., Eds. Springer, 2015, pp. 1271–1284.
C. Cotta and van Hemert, J., Evolutionary Computation in Combinatorial Optimization, 7th European Conference, Lecture Notes in Computer Science, vol. LNCS 4446. Springer, 2007.
J. van Hemert and Cotta, C., Evolutionary Computation in Combinatorial Optimization, 8th European Conference, Lecture Notes in Computer Science, vol. LNCS 4972. Springer, 2008.
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.
M. Dmitriev and Atkinson, M. P., Evolutionary Data Conversion in the PJama Persistent Language, in ECOOP Workshops, 1999, pp. 211-212.
M. Dmitriev and Atkinson, M. P., Evolutionary Data Conversion in the PJama Persistent Language, in ECOOP Workshop on Object-Oriented Databases, 1999, pp. 25-36.
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.
J. I. van Hemert, Evolving combinatorial problem instances that are difficult to solve, Evolutionary Computation, vol. 14, p. 433--462, 2006.
J. Gomes, David, M., Martins, J., Bernardo, L., García, A., Hardt, M., Kornmayer, H., Marco, J., Marco, R., Rodríguez, D., Diaz, I., Cano, D., Salt, J., Gonzalez, S., Sánchez, J., Fassi, F., Lara, V., Nyczyk, P., Lason, P., Ozieblo, A., Wolniewicz, P., Bluj, M., Nawrocki, K., Padee, A., and Wislicki, W., Experience with the international testbed in the crossgrid project, Advances in Grid Computing-EGC 2005, vol. 3470. Springer Berlin/Heidelberg, Amsterdam, pp. 172-271, 2005.
M. Antonioletti, Hong, N. C., Hume, A., Jackson, M., Krause, A., Nowell, J., Palansuriya, C., Sugden, T., and Westhead, M., Experiences of Designing and Implementing Grid Database Services in the OGSA-DAI project, in Global Grid Forum Workshop on Designing and Building Grid Services/GGF9, Chicago, USA, 2003.
R. Filgueira, Singh, D. E., Pichel, J. C., and Carretero, J., Exploiting data compression in collective I/O techniques., in Cluster Computing 2008., Tsukuba, Japand., 2008.
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.
L. Han, Exploiting P2P and Grid Computing Technologies for Resource Sharing to support High Performance Distributed System, in Handbook of Research on P2P and Grid Systems for Service-Oriented Computing: Models, Methodologies and Applications , vol. 1, 2 vol., N. Antonopoulos, Exarchakos, G., Li, M., and Liottac, A., Eds. IGI Global publishing, 2010.
M. Piotrowski, McGilvary, G., Sloan, T., Mewissen, M., Lloyd, A., Forster, T., Mitchell, L., Ghazal, P., and Hill, J., Exploiting Parallel R in the Cloud with SPRINT, Methods of Information in Medicine, vol. 52, no. 1, pp. 80-90, 2013.
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.
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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.
G. Yaikhom, Liew, C., Han, L., van Hemert, J., Atkinson, M., and Krause, A., Federated Enactment of Workflow Patterns, Lecture Notes in Computer Science, vol. 6271. Springer Berlin / Heidelberg, pp. 317-328, 2010.
D. Berry, Usmani, A., Torero, J., Tate, A., McLaughlin, S., Potter, S., Trew, A., Baxter, R., Bull, M., and Atkinson, M., FireGrid: Integrated emergency response and fire safety engineering for the future built environment, in All Hands Meeting 2005, Nottingham, UK, 2006.
T. Hey, Foreword, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, p. xvii-xviii.

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