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EUROGP
2010
Springer
217views Optimization» more  EUROGP 2010»
13 years 11 months ago
Evolving Genes to Balance a Pole
We discuss how to use a Genetic Regulatory Network as an evolutionary representation to solve a typical GP reinforcement problem, the pole balancing. The network is a modified ver...
Miguel Nicolau, Marc Schoenauer, Wolfgang Banzhaf
ECAL
2003
Springer
13 years 10 months ago
Evolving Fractal Gene Regulatory Networks for Robot Control
Fractal proteins are a new evolvable method of mapping genotype to phenotype through a developmental process, where genes are expressed into proteins comprised of subsets of the Ma...
Peter J. Bentley
BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
13 years 5 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya
CIBCB
2005
IEEE
13 years 11 months ago
Feedback Memetic Algorithms for Modeling Gene Regulatory Networks
— In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of memetic algori...
Christian Spieth, Felix Streichert, Jochen Supper,...
JCB
2006
114views more  JCB 2006»
13 years 5 months ago
A General Modeling Strategy for Gene Regulatory Networks with Stochastic Dynamics
A stochastic genetic toggle switch model that consists of two identical, mutually repressive genes is built using the Gillespie algorithm with time delays as an example of a simpl...
Andre Ribeiro, Rui Zhu, Stuart A. Kauffman