| [47] | Mining spatial gene expression data for association rules (J van Hemert, RA Baldock), In BioInformatics Research and Development (S Hochreiter, R Wagner, eds.), Springer, volume 4414, 2007.
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| [46] | European Graduate Student Workshop on Evolutionary Computation, (M Giacobini, J van Hemert, eds.), 2007.
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| [45] | Evol Comput in Comb Optim, 7th European Conference, (C Cotta, J van Hemert, eds.), Springer, volume 4446, 2007.
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| [44] | Increasing the efficiency of graph colouring algorithms with a representation based on vector operations (I Juhos, J van Hemert), In Journal of Software, volume 1, 2006.
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| [43] | Improving Graph Colouring Algorithms and Heuristics Using a Novel Representation (I Juhos, J van Hemert), In Evol Comput in Comb Optim (J Gottlieb, G Raidl, eds.), Springer, volume 3906, 2006.
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| [42] | Evolving combinatorial problem instances that are difficult to solve (J van Hemert), In Evolutionary Computation, volume 14, 2006.
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| [41] | 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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| [40] | European Graduate Student Workshop on Evolutionary Computation, (M Giacobini, J van Hemert, eds.), 2006.
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| [39] | Heuristic Colour Assignment Strategies for Merge Models in Graph Colouring (I Juhos, A Tóth, J van Hemert), In Evol Comput in Comb Optim (G Raidl, J Gottlieb, eds.), Springer, volume 3448, 2005.
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| [38] | Property analysis of symmetric travelling salesman problem instances acquired through evolution (J van Hemert), In Evol Comput in Comb Optim (G Raidl, J Gottlieb, eds.), Springer, volume 5, 2005.
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| [37] | 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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| [36] | 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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| [35] | 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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| [34] | 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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| [33] | Binary Merge Model Representation of the Graph Colouring Problem (I Juhos, A Tóth, J van Hemert), In Evol Comput in Comb Optim (J Gottlieb, G Raidl, eds.), Springer, 2004.
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| [32] | 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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| [31] | 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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| [30] | 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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| [29] | 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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| [28] | A new permutation model for solving the graph k-coloring problem (I Juhos, A Tóth, M Tezuka, P Tann, J van Hemert), In Kalmàr Workshop on Logic and Computer Science, 2003.
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| [27] | Evolving binary constraint satisfaction problem instances that are difficult to solve (J van Hemert), In IEEE Trans Evol Comput, IEEE Press, volume 4, 2003.
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| [26] | Comparing Evolutionary Algorithms on Binary Constraint Satisfaction Problems (BGW Craenen, AE Eiben, J van Hemert), In IEEE Trans Evol Comput, volume 7, 2003.
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| [25] | Use of Evolutionary Algorithms for Telescope Scheduling (R Grim, MLM Jansen, A Baan, J van Hemert, H de Wolf), In Integrated Modeling of Telescopes (Torben Anderson, ed.), The International Society for Optical Engineering (SPIE), volume 4757, 2002.
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| [24] | Application of Evolutionary Computation to Constraint Satisfaction and Data Mining (J van Hemert), PhD thesis, Leiden University, 2002.
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| [23] | Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation (J van Hemert), In Applications of Evolutionary Computing (S Cagnoni, J Gottlieb, E Hart, M Middendorf, G Raidl, eds.), Springer, volume 5, 2002.
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