| [24] | Evolutionary Computation and Constraint Satisfaction (J van Hemert), Chapter in Handbook of Computational Intelligence (J Kacpryk, W Pedrycz, eds.), Springer, 2015.
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| [23] | Contraction-Based Heuristics to Improve the Efficiency of Algorithms Solving the Graph Colouring Problem (I Juhos, J van Hemert), Chapter in Recent Advances in Evolutionary Computation for Combinatorial Optimization (C Cotta, J van Hemert, eds.), Springer, 2008.
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| [22] | Graph Colouring Heuristics Guided by Higher Order Graph Properties (I Juhos, J van Hemert), In Evol Comput in Comb Optim (J van Hemert, C Cotta, eds.), Springer, volume 4972, 2008.
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| [21] | European Graduate Student Workshop on Evolutionary Computation, (C Di Chio, M Giacobini, J van Hemert, eds.), 2008.
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| [20] | Evol Comput in Comb Optim, 8th European Conference, (J van Hemert, C Cotta, eds.), Springer, volume 4972, 2008.
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| [19] | Recent Advances in Evolutionary Computation for Combinatorial Optimization (C Cotta, J van Hemert), Springer, volume 153, 2008.
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| [18] | European Graduate Student Workshop on Evolutionary Computation, (M Giacobini, J van Hemert, eds.), 2007.
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| [17] | Evol Comput in Comb Optim, 7th European Conference, (C Cotta, J van Hemert, eds.), Springer, volume 4446, 2007.
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| [16] | Evolving combinatorial problem instances that are difficult to solve (J van Hemert), In Evolutionary Computation, volume 14, 2006.
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| [15] | Neighborhood Searches for the Bounded Diameter Minimum Spanning Tree Problem Embedded in a VNS, EA, and ACO (M Gruber, J van Hemert, GR Raidl), In Genetic and Evolutionary Computation (Maarten Keijzer et al., ed.), ACM, volume 2, 2006.
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| [14] | European Graduate Student Workshop on Evolutionary Computation, (M Giacobini, J van Hemert, eds.), 2006.
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| [13] | Genetic Programming, Proceedings of the 8th European Conference, (M Keijzer, A Tettamanzi, P Collet, J van Hemert, eds.), Springer, volume 3447, 2005.
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| [12] | Complexity Transitions in Evolutionary Algorithms: Evaluating the impact of the initial population (A Defaweux, T Lenaerts, J van Hemert), In Congress on Evolutionary Computation, IEEE Press, volume 7, 2005.
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| [11] | Transition Models as an incremental approach for problem solving in Evolutionary Algorithms (A Defaweux, T Lenaerts, J van Hemert, J Parent), In Genetic and Evolutionary Computation (H-G Beyer et al., ed.), ACM Press, volume 7, 2005.
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| [10] | Evolutionary Transitions as a Metaphor for Evolutionary Optimization (A Defaweux, T Lenaerts, J van Hemert), In Advances in Artificial Life (M Capcarrere, AA Freitas, PJ Bentley, CG Johnson, J Timmis, eds.), Springer, volume 3630, 2005.
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| [9] | Phase transition properties of clustered travelling salesman problem instances generated with evolutionary computation (J van Hemert, NB Urquhart), In Parallel Problem Solving from Nature (Xin Yao, Edmund Burke, Jose A Lozano, Jim Smith, Juan J Merelo-Guervós, John A Bullinaria, Jonathan Rowe, Peter Ti\vno Ata Kabán, Hans-Paul Schwefel, eds.), Springer, volume 3242, 2004.
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| [8] | A Study into Ant Colony Optimization, Evolutionary Computation and Constraint Programming on Binary Constraint Satisfaction Problems (J van Hemert, C Solnon), In Evol Comput in Comb Optim (J Gottlieb, G Raidl, eds.), Springer, volume 3004, 2004.
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| [7] | Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation (J van Hemert, JA la Poutré), In Parallel Problem Solving from Nature (Xin Yao, Edmund Burke, Jose A Lozano, Jim Smith, Juan J Merelo-Guervós, John A Bullinaria, Jonathan Rowe, Peter Ti\vno Ata Kabán, Hans-Paul Schwefel, eds.), Springer, volume 3242, 2004.
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| [6] | Robust parameter settings for variation operators by measuring the resampling ratio (J van Hemert, T Bäck), In Journal of Heuristics, volume 10, 2004.
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| [5] | Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction (J van Hemert, T Bäck), In Parallel Problem Solving from Nature (JJ Merelo, A Panagiotis, H-G Beyer, José-Luis Fernández-Villacañas, Hans-Paul Schwefel, eds.), Springer, volume 2439, 2002.
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| [3] | Comparing genetic programming variants for data classification (J Eggermont, AE Eiben, J van Hemert), In Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (E Postma, M Gyssens, eds.), 1999.
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| [2] | A comparison of genetic programming variants for data classification (J Eggermont, AE Eiben, J van Hemert), In Advances in Intelligent Data Analysis (DJ Hand, JN Kok, MR Berthold, eds.), Springer, 1999.
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| [1] | Adapting the Fitness Function in GP for Data Mining (J Eggermont, AE Eiben, J van Hemert), In Genetic Programming (R Poli, P Nordin, WB Langdon, TC Fogarty, eds.), Springer, 1999.
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