Publications of Dr Jano van Hemert
2015
[32]Evolutionary Computation and Constraint Satisfaction (), Chapter in Handbook of Computational Intelligence (Kacpryk, J, Pedrycz, W, eds.), Springer, . [bibtex] [doi]
2009
[31]Exploiting Fruitful Regions in Dynamic Routing using Evolutionary Computation ( and ), In Bio-inspired Approaches for Vehicle Routing (Pereira Babtista, F, Tavares, J, eds.), Springer, volume 161, . [bibtex]
2008
[30]Recent Advances in Evolutionary Computation for Combinatorial Optimization ( and ), Springer, volume 153, , 333 pages. [bibtex]
[29] Evol Comput in Comb Optim, 8th European Conference, (van Hemert, J, Cotta, C, eds.), Springer, volume 4972, . [bibtex] [url]
[28]European Graduate Student Workshop on Evolutionary Computation, (Di Chio, C, Giacobini, M, van Hemert, J, eds.), . [bibtex] [pdf]
[27]Graph Colouring Heuristics Guided by Higher Order Graph Properties ( and ), In Evol Comput in Comb Optim (van Hemert, J, Cotta, C, eds.), Springer, volume 4972, . [bibtex]
[26]Contraction-Based Heuristics to Improve the Efficiency of Algorithms Solving the Graph Colouring Problem ( and ), Chapter in Recent Advances in Evolutionary Computation for Combinatorial Optimization (Cotta, C, van Hemert, J, eds.), Springer, . [bibtex]
2007
[25] Evol Comput in Comb Optim, 7th European Conference, (Cotta, C, van Hemert, J, eds.), Springer, volume 4446, . [bibtex] [url]
[24]European Graduate Student Workshop on Evolutionary Computation, (Giacobini, M, van Hemert, J, eds.), . [bibtex] [pdf]
2006
[23]European Graduate Student Workshop on Evolutionary Computation, (M Giacobini, van Hemert, J, eds.), . [bibtex] [pdf]
[22]Neighborhood Searches for the Bounded Diameter Minimum Spanning Tree Problem Embedded in a VNS, EA, and ACO (, and ), In Genetic and Evolutionary Computation (Maarten Keijzer et al., ed.), ACM, volume 2, . [bibtex] [pdf]
[21] Evolving combinatorial problem instances that are difficult to solve (), In Evolutionary Computation, volume 14, . [bibtex] [url]
2005
[20]Evolutionary Transitions as a Metaphor for Evolutionary Optimization (, and ), In Advances in Artificial Life (M Capcarrere, AA Freitas, PJ Bentley, CG Johnson, J Timmis, eds.), Springer, volume 3630, . [bibtex] [pdf]
[19]Transition Models as an incremental approach for problem solving in Evolutionary Algorithms (, , and ), In Genetic and Evolutionary Computation (H-G Beyer et al., ed.), ACM Press, volume 7, . [bibtex] [pdf]
[18]Complexity Transitions in Evolutionary Algorithms: Evaluating the impact of the initial population (, and ), In Congress on Evolutionary Computation, IEEE Press, volume 7, . [bibtex] [pdf]
[17] Genetic Programming, Proceedings of the 8th European Conference, (M Keijzer, A Tettamanzi, P Collet, J van Hemert, eds.), Springer, volume 3447, . [bibtex] [html]
2004
[16]Robust parameter settings for variation operators by measuring the resampling ratio ( and ), In Journal of Heuristics, volume 10, . [bibtex]
[15]Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation ( and ), 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, . [bibtex] [pdf]
[14]A Study into Ant Colony Optimization, Evolutionary Computation and Constraint Programming on Binary Constraint Satisfaction Problems ( and ), In Evol Comput in Comb Optim (J Gottlieb, G Raidl, eds.), Springer, volume 3004, . [bibtex] [pdf]
[13] Phase transition properties of clustered travelling salesman problem instances generated with evolutionary computation ( and ), 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, . [bibtex] [pdf]
2002
[12]Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction ( and ), In Parallel Problem Solving from Nature (JJ Merelo, A Panagiotis, H-G Beyer, José-Luis Fernández-Villacañas, Hans-Paul Schwefel, eds.), Springer, volume 2439, . [bibtex]
[11]Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation (), In Applications of Evolutionary Computing (S Cagnoni, J Gottlieb, E Hart, M Middendorf, G Raidl, eds.), Springer, volume 5, . [bibtex] [pdf]
[10]Application of Evolutionary Computation to Constraint Satisfaction and Data Mining (), PhD thesis, Leiden University, . [bibtex]
2001
[9]Evolutionary Computation in Constraint Satisfaction and Machine Learning — An abstract of my PhD. (), 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), . [bibtex] [pdf]
[8]A "Futurist" approach to dynamic environments (, , and ), In Genetic and Evolutionary Computation (J Branke, Th. Bäck, eds.), Morgan Kaufmann Publishers, volume 3, . [bibtex] [pdf]
[7]An Engineering Approach to Evolutionary Art ( and ), 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, . [bibtex] [pdf]
2000
[6]Stepwise Adaptation of Weights for Symbolic Regression with Genetic Programming ( and ), In Proceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (van den Bosch, A, H Weigand, eds.), . [bibtex] [pdf]
[5]Constraint Satisfaction Problems and Evolutionary Algorithms: A Reality Check (), In Artificial Intelligence (van den Bosch, A, H Weigand, eds.), volume 12, . [bibtex] [pdf]
1999
[4]Population dynamics and emerging features in AEGIS (, and ), In Genetic and Evolutionary Computation (W Banzhaf, J Daida, AE Eiben, MH Garzon, V Honavar, M Jakiela, RE Smith, eds.), Morgan Kaufmann Publishers, . [bibtex] [pdf]
[3]Adapting the Fitness Function in GP for Data Mining (, and ), In Genetic Programming (R Poli, P Nordin, WB Langdon, TC Fogarty, eds.), Springer, . [bibtex]
[2]A comparison of genetic programming variants for data classification (, and ), In Advances in Intelligent Data Analysis (DJ Hand, JN Kok, MR Berthold, eds.), Springer, . [bibtex]
[1]Comparing genetic programming variants for data classification (, and ), In Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (E Postma, M Gyssens, eds.), . [bibtex]
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