[30] | Evolutionary Computation and Constraint Satisfaction (van Hemert, J), Chapter in Handbook of Computational Intelligence (Kacpryk, J, Pedrycz, W, eds.), Springer, 2015. |
[29] | The Evolutionary Transition Algorithm: Evolving Complex Solutions out of Simpler Ones (T Lenaerts and A Defaweux), In Nature-Inspired Algorithms for Optimisation (Raymond Chiong, ed.), Springer, volume 193, 2009. |
[28] | 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. |
[27] | 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. |
[26] | 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. |
[25] | Evolving combinatorial problem instances that are difficult to solve (van Hemert, J), In Evolutionary Computation, volume 14, 2006. |
[24] | Improving Graph Colouring Algorithms and Heuristics Using a Novel Representation (I Juhos and van Hemert, J), In Evol Comput in Comb Optim (J Gottlieb, G Raidl, eds.), Springer, volume 3906, 2006. |
[23] | Increasing the efficiency of graph colouring algorithms with a representation based on vector operations (I Juhos and van Hemert, J), In Journal of Software, volume 1, 2006. |
[22] | 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. |
[21] | 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. |
[20] | 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. |
[19] | Heuristic Colour Assignment Strategies for Merge Models in Graph Colouring (I Juhos, A Tóth and van Hemert, J), In Evol Comput in Comb Optim (G Raidl, J Gottlieb, eds.), Springer, volume 3448, 2005. |
[18] | Robust parameter settings for variation operators by measuring the resampling ratio (van Hemert, J and T Bäck), In Journal of Heuristics, volume 10, 2004. |
[17] | 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. |
[16] | Binary Merge Model Representation of the Graph Colouring Problem (I Juhos, A Tóth and van Hemert, J), In Evol Comput in Comb Optim (J Gottlieb, G Raidl, eds.), Springer, 2004. |
[15] | Comparing Evolutionary Algorithms on Binary Constraint Satisfaction Problems (BGW Craenen, AE Eiben and van Hemert, J), In IEEE Trans Evol Comput, volume 7, 2003. |
[14] | Evolving binary constraint satisfaction problem instances that are difficult to solve (van Hemert, J), In IEEE Trans Evol Comput, IEEE Press, volume 4, 2003. |
[13] | A new permutation model for solving the graph k-coloring problem (I Juhos, A Tóth, M Tezuka, P Tann and van Hemert, J), In Kalmàr Workshop on Logic and Computer Science, 2003. |
[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] | Use of Evolutionary Algorithms for Telescope Scheduling (R Grim, MLM Jansen, A Baan, van Hemert, J and H de Wolf), In Integrated Modeling of Telescopes (Torben Anderson, ed.), The International Society for Optical Engineering (SPIE), volume 4757, 2002. |
[8] | 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. |
[7] | 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. |
[6] | SAW-ing EAs: adapting the fitness function for solving constrained problems (AE Eiben and van Hemert, J), Chapter in New ideas in optimization (D Corne, M Dorigo, F Glover, eds.), McGraw-Hill, London, 1999. |
[5] | Graph Coloring with Adaptive Evolutionary Algorithms (AE Eiben, van der Hauw, JK and van Hemert, J), In Journal of Heuristics, Kluwer Academic Publishers, volume 4, 1998. |
[4] | Solving Binary Constraint Satisfaction Problems using Evolutionary Algorithms with an Adaptive Fitness Function (AE Eiben, van Hemert, J, E Marchiori and AG Steenbeek), In Parallel Problem Solving from Nature (AE Eiben, Th. Bäck, M Schoenauer, H-P Schwefel, eds.), Springer, 1998. |
[3] | Extended abstract: Solving Binary Constraint Satisfaction Problems using Evolutionary Algorithms with an Adaptive Fitness Function (AE Eiben, van Hemert, J, E Marchiori and AG Steenbeek), In Proceedings of the Xth Netherlands/Belgium Conference on Artificial Intelligence (NAIC'98) (la Poutré, JA, van den Herik, J, eds.), 1998. |
[2] | Applying Adaptive Evolutionary Algorithms to Hard Problems (van Hemert, J), Master's thesis, Leiden University, 1998. |
[1] | Comparison of the SAW-ing Evolutionary Algorithm and the Grouping Genetic Algorithm for Graph Coloring (van Hemert, J and AE Eiben), Technical report TR-97-14, Leiden University, 1997. |