2008 |
20 | EE | Carlos Gershenson,
Tom Lenaerts:
Evolution of Complexity.
Artificial Life 14(3): 241-243 (2008) |
2007 |
19 | EE | Jorge M. Pacheco,
Tom Lenaerts,
Francisco C. Santos:
Evolution of Cooperation in a Population of Selfish Adaptive Agents.
ECAL 2007: 535-544 |
18 | EE | Francisco C. Santos,
Hugues Bersini,
Tom Lenaerts:
Networks Regulating Networks: The Effects of Constraints on Topological Evolution.
ECAL 2007: 956-965 |
2005 |
17 | EE | 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 |
16 | EE | Anne Defaweux,
Tom Lenaerts,
Jano I. van Hemert:
Evolutionary Transitions as a Metaphor for Evolutionary Optimisation.
ECAL 2005: 342-352 |
15 | EE | Hugues Bersini,
Tom Lenaerts,
Francisco C. Santos:
Growing Biochemical Networks: Identifying the Intrinsic Properties.
ECAL 2005: 864-873 |
14 | EE | 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 |
13 | EE | Dominique Chu,
Hoong-Chien Lee,
Tom Lenaerts:
Evolution of DNA Uptake Signal Sequences.
Artificial Life 11(3): 317-338 (2005) |
12 | EE | Tom Lenaerts,
Dominique Chu,
Richard Watson:
Dynamical Hierarchies.
Artificial Life 11(4): 403-405 (2005) |
2004 |
11 | EE | Piet van Remortel,
Bernard Manderick,
Tom Lenaerts:
Gene Interaction and Modularisation in a Model for Gene-Regulated Development.
Evolvable Hardware 2004: 253-260 |
2003 |
10 | EE | Karl Tuyls,
Katja Verbeeck,
Tom Lenaerts:
A selection-mutation model for q-learning in multi-agent systems.
AAMAS 2003: 693-700 |
9 | EE | Piet van Remortel,
Johan Ceuppens,
Anne Defaweux,
Tom Lenaerts,
Bernard Manderick:
Developmental Effects on Tuneable Fitness Landscapes.
ICES 2003: 117-128 |
2002 |
8 | EE | 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 |
7 | EE | 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 |
6 | EE | Piet van Remortel,
Tom Lenaerts,
Bernard Manderick:
The Robustness of Small Developped SBlock Circuits Using Different Clocking Schemes.
Evolvable Hardware 2002: 26-35 |
5 | | Tom Lenaerts,
Anne Defaweux,
Piet van Remortel,
Bernard Manderick:
An Individual-based Approach To Multi-level Selection.
GECCO 2002: 136 |
4 | | 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 |
3 | EE | Tom Lenaerts,
Anne Defaweux,
P. Beyens,
Bernard Manderick:
Transitions in a Simple Evolutionary Model.
ECAL 2001: 436-439 |
2 | EE | Jeroen Eggermont,
Tom Lenaerts,
Sanna Poyhonen,
Alexandre Termier:
Raising the Dead: Extending Evolutionary Algorithms with a Case-Based Memory.
EuroGP 2001: 280-290 |
1998 |
1 | EE | Tom Lenaerts,
Bernard Manderick:
Building a Genetic Programming Framework: The Added-Value of Design Patterns.
EuroGP 1998: 196-208 |