[32] | Evolutionary Computation and Constraint Satisfaction (van Hemert, J), Chapter in Handbook of Computational Intelligence (Kacpryk, J, Pedrycz, W, eds.), Springer, 2015. |
[31] | Exploiting Fruitful Regions in Dynamic Routing using Evolutionary Computation (van Hemert, J and la Poutré, JA), In Bio-inspired Approaches for Vehicle Routing (Pereira Babtista, F, Tavares, J, eds.), Springer, volume 161, 2009. |
[30] | Recent Advances in Evolutionary Computation for Combinatorial Optimization (Cotta, C and van Hemert, J), Springer, volume 153, 2008, 333 pages. |
[29] | Evol Comput in Comb Optim, 8th European Conference, (van Hemert, J, Cotta, C, eds.), Springer, volume 4972, 2008. |
[28] | European Graduate Student Workshop on Evolutionary Computation, (Di Chio, C, Giacobini, M, van Hemert, J, eds.), 2008. |
[27] | Graph Colouring Heuristics Guided by Higher Order Graph Properties (Juhos, I and van Hemert, J), In Evol Comput in Comb Optim (van Hemert, J, Cotta, C, eds.), Springer, volume 4972, 2008. |
[26] | Contraction-Based Heuristics to Improve the Efficiency of Algorithms Solving the Graph Colouring Problem (Juhos, I and van Hemert, J), Chapter in Recent Advances in Evolutionary Computation for Combinatorial Optimization (Cotta, C, van Hemert, J, eds.), Springer, 2008. |
[25] | Evol Comput in Comb Optim, 7th European Conference, (Cotta, C, van Hemert, J, eds.), Springer, volume 4446, 2007. |
[24] | European Graduate Student Workshop on Evolutionary Computation, (Giacobini, M, van Hemert, J, eds.), 2007. |
[23] | European Graduate Student Workshop on Evolutionary Computation, (M Giacobini, van Hemert, J, eds.), 2006. |
[22] | Neighborhood Searches for the Bounded Diameter Minimum Spanning Tree Problem Embedded in a VNS, EA, and ACO (M Gruber, van Hemert, J and GR Raidl), In Genetic and Evolutionary Computation (Maarten Keijzer et al., ed.), ACM, volume 2, 2006. |
[21] | Evolving combinatorial problem instances that are difficult to solve (van Hemert, J), In Evolutionary Computation, volume 14, 2006. |
[20] | Evolutionary Transitions as a Metaphor for Evolutionary Optimization (A Defaweux, T Lenaerts and van Hemert, J), In Advances in Artificial Life (M Capcarrere, AA Freitas, PJ Bentley, CG Johnson, J Timmis, eds.), Springer, volume 3630, 2005. |
[19] | Transition Models as an incremental approach for problem solving in Evolutionary Algorithms (A Defaweux, T Lenaerts, van Hemert, J and J Parent), In Genetic and Evolutionary Computation (H-G Beyer et al., ed.), ACM Press, volume 7, 2005. |
[18] | Complexity Transitions in Evolutionary Algorithms: Evaluating the impact of the initial population (A Defaweux, T Lenaerts and van Hemert, J), In Congress on Evolutionary Computation, IEEE Press, volume 7, 2005. |
[17] | Genetic Programming, Proceedings of the 8th European Conference, (M Keijzer, A Tettamanzi, P Collet, J van Hemert, eds.), Springer, volume 3447, 2005. |
[16] | Robust parameter settings for variation operators by measuring the resampling ratio (van Hemert, J and T Bäck), In Journal of Heuristics, volume 10, 2004. |
[15] | Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation (van Hemert, J and la Poutré, JA), 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. |
[14] | A Study into Ant Colony Optimization, Evolutionary Computation and Constraint Programming on Binary Constraint Satisfaction Problems (van Hemert, J and C Solnon), In Evol Comput in Comb Optim (J Gottlieb, G Raidl, eds.), Springer, volume 3004, 2004. |
[13] | Phase transition properties of clustered travelling salesman problem instances generated with evolutionary computation (van Hemert, J and 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. |
[12] | Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction (van Hemert, J and 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. |
[11] | Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation (van Hemert, J), In Applications of Evolutionary Computing (S Cagnoni, J Gottlieb, E Hart, M Middendorf, G Raidl, eds.), Springer, volume 5, 2002. |
[10] | Application of Evolutionary Computation to Constraint Satisfaction and Data Mining (van Hemert, J), PhD thesis, Leiden University, 2002. |
[9] | Evolutionary Computation in Constraint Satisfaction and Machine Learning — An abstract of my PhD. (van Hemert, J), In Proceedings of the Brussels Evolutionary Algorithms Day (BEAD-2001) (Anne Defaweux, Bernard Manderick, Tom Lenearts, Johan Parent, Piet van Remortel, eds.), Vrije Universiteit Brussel (VUB), 2001. |
[8] | A "Futurist" approach to dynamic environments (van Hemert, J, Van Hoyweghen, C, E Lukschandl and K Verbeeck), In Genetic and Evolutionary Computation (J Branke, Th. Bäck, eds.), Morgan Kaufmann Publishers, volume 3, 2001. |
[7] | An Engineering Approach to Evolutionary Art (van Hemert, J and MLM Jansen), In Genetic and Evolutionary Computation (Lee Spector, Erik D Goodman, Annie Wu, WB Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H Garzon, Edmund Burke, eds.), Morgan Kaufmann Publishers, volume 3, 2001. |
[6] | Stepwise Adaptation of Weights for Symbolic Regression with Genetic Programming (J Eggermont and van Hemert, J), In Proceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (van den Bosch, A, H Weigand, eds.), 2000. |
[5] | Constraint Satisfaction Problems and Evolutionary Algorithms: A Reality Check (van Hemert, J), In Artificial Intelligence (van den Bosch, A, H Weigand, eds.), volume 12, 2000. |
[4] | Population dynamics and emerging features in AEGIS (AE Eiben, D Elia and van Hemert, J), In Genetic and Evolutionary Computation (W Banzhaf, J Daida, AE Eiben, MH Garzon, V Honavar, M Jakiela, RE Smith, eds.), Morgan Kaufmann Publishers, 1999. |
[3] | Adapting the Fitness Function in GP for Data Mining (J Eggermont, AE Eiben and van Hemert, J), In Genetic Programming (R Poli, P Nordin, WB Langdon, TC Fogarty, eds.), Springer, 1999. |
[2] | A comparison of genetic programming variants for data classification (J Eggermont, AE Eiben and van Hemert, J), In Advances in Intelligent Data Analysis (DJ Hand, JN Kok, MR Berthold, eds.), Springer, 1999. |
[1] | Comparing genetic programming variants for data classification (J Eggermont, AE Eiben and van Hemert, J), In Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (E Postma, M Gyssens, eds.), 1999. |