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Tom Lenaerts
2010 – today
- 2012
[c20]Elisa Cilia, Stefano Teso, Sergio Ammendola, Tom Lenaerts, Andrea Passerini: Predicting virus mutations through relational learning. AIMM 2012- 2011
- [j10]Benjamin Werner, David Dingli, Tom Lenaerts, Jorge M. Pacheco, Arne Traulsen: Dynamics of Mutant Cells in Hierarchical Organized Tissues. PLoS Computational Biology 7(12) (2011)
- 2010
- [j9]Sven Van Segbroeck, Steven de Jong, Ann Nowé, Francisco C. Santos, Tom Lenaerts: Learning to coordinate in complex networks. Adaptive Behaviour 18(5): 416-427 (2010)
- [j8]Sven Van Segbroeck, Francisco C. Santos, Jorge M. Pacheco, Tom Lenaerts: Coevolution of Cooperation, Response to Adverse Social Ties and Network Structure. Games 1(3): 317-337 (2010)
2000 – 2009
- 2009
- [j7]Tom Lenaerts, Hugues Bersini: A Synthon Approach to Artificial Chemistry. Artificial Life 15(1): 89-103 (2009)
- [j6]Sven Van Segbroeck, Ann Nowé, Tom Lenaerts: Stochastic Simulation of the Chemoton. Artificial Life 15(2): 213-226 (2009)
- [c19]Sven Van Segbroeck, Francisco C. Santos, Ann Nowé, Jorge M. Pacheco, Tom Lenaerts: The coevolution of loyalty and cooperation. IEEE Congress on Evolutionary Computation 2009: 500-505
- [c18]Sven Van Segbroeck, Francisco C. Santos, Tom Lenaerts, Jorge M. Pacheco: Emergence of Cooperation in Adaptive Social Networks with Behavioral Diversity. ECAL (1) 2009: 434-441
- [p2]Tom Lenaerts, Anne Defaweux, Jano I. van Hemert: The Evolutionary Transition Algorithm: Evolving Complex Solutions Out of Simpler Ones. Nature-Inspired Algorithms for Optimisation 2009: 103-131
- [p1]Tom Lenaerts, Anne Defaweux: Solving Hierarchically Decomposable Problems with the Evolutionary Transition Algorithm. Natural Intelligence for Scheduling, Planning and Packing Problems 2009: 111-143
- 2008
- [j5]
- [j4]Lies Baeten, Joke Reumers, Vicente Tur, François Stricher, Tom Lenaerts, Luis Serrano, Frederic Rousseau, Joost Schymkowitz: Reconstruction of Protein Backbones from the BriX Collection of Canonical Protein Fragments. PLoS Computational Biology 4(5) (2008)
- 2007
- [c17]Jorge M. Pacheco, Tom Lenaerts, Francisco C. Santos: Evolution of Cooperation in a Population of Selfish Adaptive Agents. ECAL 2007: 535-544
- [c16]Francisco C. Santos, Hugues Bersini, Tom Lenaerts: Networks Regulating Networks: The Effects of Constraints on Topological Evolution. ECAL 2007: 956-965
- 2006
- [j3]Francisco C. Santos, Jorge M. Pacheco, Tom Lenaerts: Cooperation Prevails When Individuals Adjust Their Social Ties. PLoS Computational Biology 2(10) (2006)
- 2005
- [j2]Dominique Chu, Hoong-Chien Lee, Tom Lenaerts: Evolution of DNA Uptake Signal Sequences. Artificial Life 11(3): 317-338 (2005)
- [j1]Tom Lenaerts, Dominique Chu, Richard Watson: Dynamical Hierarchies. Artificial Life 11(4): 403-405 (2005)
- [c15]Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, Johan Parent: Complexity transitions in evolutionary algorithms: evaluating the impact of the initial population. Congress on Evolutionary Computation 2005: 2174-2181
- [c14]Anne Defaweux, Tom Lenaerts, Jano I. van Hemert: Evolutionary Transitions as a Metaphor for Evolutionary Optimisation. ECAL 2005: 342-352
- [c13]Hugues Bersini, Tom Lenaerts, Francisco C. Santos: Growing Biochemical Networks: Identifying the Intrinsic Properties. ECAL 2005: 864-873
- [c12]Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, Johan Parent: Transition models as an incremental approach for problem solving in evolutionary algorithms. GECCO 2005: 599-606
- 2004
- [c11]Piet van Remortel, Bernard Manderick, Tom Lenaerts: Gene Interaction and Modularisation in a Model for Gene-Regulated Development. Evolvable Hardware 2004: 253-260
- 2003
- [c10]Karl Tuyls, Katja Verbeeck, Tom Lenaerts: A selection-mutation model for q-learning in multi-agent systems. AAMAS 2003: 693-700
- [c9]Piet van Remortel, Johan Ceuppens, Anne Defaweux, Tom Lenaerts, Bernard Manderick: Developmental Effects on Tuneable Fitness Landscapes. ICES 2003: 117-128
- 2002
- [c8]Piet van Remortel, Tom Lenaerts, Bernard Manderick: Lineage and Induction in the Development of Evolved Genotypes for Non-uniform 2D CAs. Australian Joint Conference on Artificial Intelligence 2002: 321-332
- [c7]Katja Verbeeck, Ann Nowé, Tom Lenaerts, Johan Parent: Learning to Reach the Pareto Optimal Nash Equilibrium as a Team. Australian Joint Conference on Artificial Intelligence 2002: 407-418
- [c6]Piet van Remortel, Tom Lenaerts, Bernard Manderick: The Robustness of Small Developped SBlock Circuits Using Different Clocking Schemes. Evolvable Hardware 2002: 26-35
- [c5]Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick: An Individual-based Approach To Multi-level Selection. GECCO 2002: 136
- [c4]Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick: Evaluation of a Simple Multi-Level Selection Model. GECCO Late Breaking Papers 2002: 323-329
- 2001
- [c3]Tom Lenaerts, Anne Defaweux, P. Beyens, Bernard Manderick: Transitions in a Simple Evolutionary Model. ECAL 2001: 436-439
- [c2]Jeroen Eggermont, Tom Lenaerts, Sanna Poyhonen, Alexandre Termier: Raising the Dead: Extending Evolutionary Algorithms with a Case-Based Memory. EuroGP 2001: 280-290
1990 – 1999
- 1998
- [c1]Tom Lenaerts, Bernard Manderick: Building a Genetic Programming Framework: The Added-Value of Design Patterns. EuroGP 1998: 196-208
Coauthor Index
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last updated on 2013-05-22 20:45 CEST by the dblp team