 | 2012 |
| 11 |  | Ivan Tanev,
Tüze Kuyucu,
Katsunori Shimohara:
The Effect of Bloat on the Efficiency of Incremental Evolution of Simulated Snake-Like Robot.
EuroGP 2012: 242-253 |
| 10 |  | Tüze Kuyucu,
Ivan Tanev,
Katsunori Shimohara:
Evolutionary Optimization of Pheromone-Based Stigmergic Communication.
EvoApplications 2012: 63-72 |
| 2011 |
| 9 |  | Ivan Tanev,
Tüze Kuyucu,
Katsunori Shimohara:
Incremental genetic programming via genetic transposition.
GECCO (Companion) 2011: 19-20 |
| 8 |  | Tüze Kuyucu,
Martin Trefzer,
Julian Francis Miller,
Andy M. Tyrrell:
An Investigation of the Importance of Mechanisms and Parameters in a Multicellular Developmental System.
IEEE Trans. Evolutionary Computation 15(3): 313-345 (2011) |
| 2010 |
| 7 |  | Martin Trefzer,
Tüze Kuyucu,
Julian F. Miller,
Andy M. Tyrrell:
Image compression of natural images using artificial gene regulatory networks.
GECCO 2010: 595-602 |
| 6 |  | Martin Trefzer,
Tüze Kuyucu,
Julian F. Miller,
Andy M. Tyrrell:
Evolution and Analysis of a Robot Controller Based on a Gene Regulatory Network.
ICES 2010: 61-72 |
| 2009 |
| 5 |  | Tüze Kuyucu,
Martin Trefzer,
Julian Francis Miller,
Andy M. Tyrrell:
Task decomposition and evolvability in intrinsic evolvable hardware.
IEEE Congress on Evolutionary Computation 2009: 2281-2287 |
| 4 |  | Martin Trefzer,
Tüze Kuyucu,
Julian Francis Miller,
Andy M. Tyrrell:
A model for intrinsic artificial development featuring structural feedback and emergent growth.
IEEE Congress on Evolutionary Computation 2009: 301-308 |
| 2008 |
| 3 |  | Martin Trefzer,
Tüze Kuyucu,
Andrew J. Greensted,
Julian Francis Miller,
Andy M. Tyrrell:
The Input Pattern Order Problem: Evolution of Combinatorial and Sequential Circuits in Hardware.
ICES 2008: 382-391 |
| 2 |  | Tüze Kuyucu,
Martin Trefzer,
Andrew J. Greensted,
Julian Francis Miller,
Andy M. Tyrrell:
Fitness functions for the unconstrained evolution of digital circuits.
IEEE Congress on Evolutionary Computation 2008: 2584-2591 |
| 2005 |
| 1 |  | James M. Hereford,
Tüze Kuyucu:
Robust Neural Networks Using Motes.
Evolvable Hardware 2005: 117-124 |