 | 2009 |
|---|
| 14 |       | Rui Dilão,
Daniele Muraro,
Miguel Nicolau,
Marc Schoenauer:
Validation of a Morphogenesis Model of Drosophila Early Development by a Multi-objective Evolutionary Optimization Algorithm.
EvoBIO 2009: 176-190 |
| 13 | | Miguel Nicolau,
Marc Schoenauer:
Evolving specific network statistical properties using a gene regulatory network model.
GECCO 2009: 723-730 |
| 12 | | Miguel Nicolau:
Application of a simple binary genetic algorithm to a noiseless testbed benchmark.
GECCO (Companion) 2009: 2473-2478 |
| 2008 |
|---|
| 11 | | Miguel Nicolau,
Marc Schoenauer:
Evolving scale-free topologies using a Gene Regulatory Network model.
IEEE Congress on Evolutionary Computation 2008: 3747-3754 |
| 2006 |
|---|
| 10 | | Miguel Nicolau,
Conor Ryan:
Solving Sudoku with the GAuGE System.
EuroGP 2006: 213-224 |
| 2005 |
|---|
| 9 | | Christopher R. Stephens,
Miguel Nicolau,
Conor Ryan:
Zero Is ot a Four Letter Word: Studies in the Evolution of Language.
EuroGP 2005: 371-380 |
| 2004 |
|---|
| 8 | | Miguel Nicolau,
Conor Ryan:
Efficient Crossover in the GAuGE System.
EuroGP 2004: 125-137 |
| 7 | | Miguel Nicolau,
Conor Ryan:
Crossover, Population Dynamics, and Convergence in the GAuGE System.
GECCO (1) 2004: 1414-1425 |
| 6 | | Michael O'Neill,
Anthony Brabazon,
Miguel Nicolau,
Seán McGarraghy,
Peter Keenan:
pi-Grammatical Evolution.
GECCO (2) 2004: 617-629 |
| 2003 |
|---|
| 5 | | Miguel Nicolau,
Anne Auger,
Conor Ryan:
Functional Dependency and Degeneracy: Detailed Analysis of the GAuGE System.
Artificial Evolution 2003: 15-26 |
| 4 | | Miguel Nicolau,
Conor Ryan:
How Functional Dependency Adapts to Salience Hierarchy in the GAuGE System.
EuroGP 2003: 153-163 |
| 3 | | Conor Ryan,
Maarten Keijzer,
Miguel Nicolau:
On the Avoidance of Fruitless Wraps in Grammatical Evolution.
GECCO 2003: 1752-1763 |
| 2002 |
|---|
| 2 | | Conor Ryan,
Miguel Nicolau,
Michael O'Neill:
Genetic Algorithms Using Grammatical Evolution.
EuroGP 2002: 278-287 |
| 1 |  | Miguel Nicolau,
Conor Ryan:
LINKGAUGE: Tackling Hard Deceptive Problems With A New Linkage Learning Genetic Algorithm.
GECCO 2002: 488-494 |
