Publications in cv.bib - page 5 [rss]
2003
[28] A new permutation model for solving the graph k-coloring problem (I. Juhos, A. Tóth, M. Tezuka, P. Tann, J.I. van Hemert), In Kalmàr Workshop on Logic and Computer Science, 2003. [bib]
[27] Evolving binary constraint satisfaction problem instances that are difficult to solve (J.I. van Hemert), In Proceedings of the IEEE 2003 Congress on Evolutionary Computation, IEEE Press, 2003. [bib]
[26] Comparing Evolutionary Algorithms on Binary Constraint Satisfaction Problems (B.G.W. Craenen, A.E. Eiben, J.I. van Hemert), In IEEE Transactions on Evolutionary Computation, volume 7, 2003. [bib] [pdf]
2002
[25] Use of Evolutionary Algorithms for Telescope Scheduling (R. Grim, M.L.M. Jansen, A. Baan, J.I. van Hemert, H. de Wolf), In Integrated Modeling of Telescopes (Torben Anderson, ed.), The International Society for Optical Engineering (SPIE), volume 4757, 2002. [bib]
[24] Application of Evolutionary Computation to Constraint Satisfaction and Data Mining (J.I. van Hemert), PhD thesis, Leiden University, 2002. (ISBN: 90-6734-057-X) [bib]
[23] Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation (J.I. van Hemert), In Applications of Evolutionary Computing (S. Cagnoni, J. Gottlieb, E. Hart, M. Middendorf, G. Raidl, eds.), Springer, 2002. [bib]
[22] Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction (J.I. van Hemert, T. Bäck), In Parallel Problem Solving from Nature (J.J. Merelo, A. Panagiotis, H.-G. Beyer, José-Luis Fernández-Villacañas, Hans-Paul Schwefel, eds.), Springer, 2002. [bib]
2001
[21] A ``Futurist'' approach to dynamic environments (J.I. van Hemert, C. Van Hoyweghen, E. Lukschandl, K. Verbeeck), Technical report, Leiden University, 2001. [bib]
[20] An Engineering Approach to Evolutionary Art (J.I. van Hemert, M.L.M. Jansen), Technical report, Leiden University, 2001. [bib]
[19] An Engineering Approach to Evolutionary Art (J.I. van Hemert, M.L.M. Jansen), In Proceedings of the Genetic and Evolutionary Computation Conference (Lee Spector, Erik D. Goodman, Annie Wu, W.B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, Edmund Burke, eds.), Morgan Kaufmann Publishers, 2001. [bib]
[18] A ``Futurist'' approach to dynamic environments (J.I. van Hemert, C. Van Hoyweghen, E. Lukschandl, K. Verbeeck), In Proceedings of the Workshops at the Genetic and Evolutionary Computation Conference, Dynamic Optimization Problems (J. Branke, Th. Bäck, eds.), Morgan Kaufmann Publishers, 2001. [bib]
[17] Evolutionary Computation in Constraint Satisfaction and Machine Learning --- An abstract of my PhD. (J.I. van Hemert), 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. [bib]
[16] Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems (J. Eggermont, J.I. van Hemert), In Genetic Programming (J. Miller, M. Tomassini, P.L. Lanzi, C. Ryan, A.G.B. Tettamanzi, W.B. Langdon, eds.), Springer, 2001. [bib]
2000
[15] De Creatieve Computer (The Creative Computer) (J.I. van Hemert), In AIgg Kennisgeving, Artificiële Intelligentie gebruikers groep, volume 13, 2000. [bib]
[14] Constraint Satisfaction Problems and Evolutionary Algorithms: A Reality Check (J.I. van Hemert), In Proceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (A. van den Bosch, H. Weigand, eds.), 2000. [bib]
[13] Stepwise Adaptation of Weights for Symbolic Regression with Genetic Programming (J. Eggermont, J.I. van Hemert), In Proceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (A. van den Bosch, H. Weigand, eds.), 2000. [bib]
1999
[12] Mondriaan Art by Evolution (J.I. van Hemert, A.E. Eiben), In Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (E. Postma, M. Gyssens, eds.), 1999. [bib]
[11] SAW-ing EAs: adapting the fitness function for solving constrained problems (A.E. Eiben, J.I. van Hemert), Chapter in New ideas in optimization (D. Corne, M. Dorigo, F. Glover, eds.), McGraw-Hill, London, 1999. [bib]
[10] Comparing genetic programming variants for data classification (J. Eggermont, A.E. Eiben, J.I. van Hemert), In Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (E. Postma, M. Gyssens, eds.), 1999. [bib]
[9] A comparison of genetic programming variants for data classification (J. Eggermont, A.E. Eiben, J.I. van Hemert), In Advances in Intelligent Data Analysis (D.J. Hand, J.N. Kok, M.R. Berthold, eds.), Springer, 1999. [bib]
[8] Adapting the Fitness Function in GP for Data Mining (J. Eggermont, A.E. Eiben, J.I. van Hemert), In Genetic Programming (R. Poli, P. Nordin, W.B. Langdon, T.C. Fogarty, eds.), Springer, 1999. [bib]
[7] Population dynamics and emerging features in AEGIS (A.E. Eiben, D. Elia, J.I. van Hemert), In Proceedings of the Genetic and Evolutionary Computation Conference (W. Banzhaf, J. Daida, A.E. Eiben, M.H. Garzon, V. Honavar, M. Jakiela, R.E. Smith, eds.), Morgan Kaufmann Publishers, 1999. [bib]
1998
[6] Applying Adaptive Evolutionary Algorithms to Hard Problems (J.I. van Hemert), Master's thesis, Leiden University, 1998. [bib]
[5] Extended abstract: Solving Binary Constraint Satisfaction Problems using Evolutionary Algorithms with an Adaptive Fitness Function (A.E. Eiben, J.I. van Hemert, E. Marchiori, A.G. Steenbeek), In Proceedings of the Xth Netherlands/Belgium Conference on Artificial Intelligence (NAIC'98) (J.A. la Poutré, J. van den Herik, eds.), 1998. [bib]
[4] Solving Binary Constraint Satisfaction Problems using Evolutionary Algorithms with an Adaptive Fitness Function (A.E. Eiben, J.I. van Hemert, E. Marchiori, A.G. Steenbeek), In Parallel Problem Solving from Nature (A.E. Eiben, Th. Bäck, M. Schoenauer, H.-P. Schwefel, eds.), Springer, 1998. [bib]
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