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CEC
2009
IEEE
13 years 11 months ago
A model for intrinsic artificial development featuring structural feedback and emergent growth
Abstract--A model for intrinsic artificial development is introduced in this paper. The proposed model features a novel mechanism where growth emerges, rather than being triggered ...
Martin Trefzer, Tüze Kuyucu, Julian Francis M...
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 8 months ago
Evolution of discrete gene regulatory models
Gene regulatory networks (GRNs) are complex control systems that govern the interaction of genes, which ultimately control cellular processes at the protein level. GRNs can be ted...
Afshin Esmaeili, Christian Jacob
SAC
2008
ACM
13 years 7 months ago
Bayesian inference for a discretely observed stochastic kinetic model
The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observ...
Richard J. Boys, Darren J. Wilkinson, Thomas B. L....
GRC
2005
IEEE
14 years 1 months ago
A linear control model for gene intervention in a genetic regulatory network
In this paper, we propose a linear control model for gene intervention in a genetic regulatory network. At each time step, finite controls are allowed to drive the network states...
Shuqin Zhang, Michael K. Ng, Wai-Ki Ching, Tatsuya...
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
13 years 11 months ago
Evolving specific network statistical properties using a gene regulatory network model
Abstract. The generation of network topologies with specific, userspecified statistical properties is the aim of this paper. This is achieved through the use of an artifical Gene R...
Miguel Nicolau, Marc Schoenauer