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AISB
1997
Springer
13 years 11 months ago
Modelling Bounded Rationality Using Evolutionary Techniques
A technique for the credible modelling of economic agents with bounded rationality based on the evolutionary techniques is described. The genetic programming paradigm is most suite...
Bruce Edmonds, Scott Moss
ICPR
2004
IEEE
14 years 8 months ago
A Rival Penalized EM Algorithm towards Maximizing Weighted Likelihood for Density Mixture Clustering with Automatic Model Select
How to determine the number of clusters is an intractable problem in clustering analysis. In this paper, we propose a new learning paradigm named Maximum Weighted Likelihood (MwL)...
Yiu-ming Cheung
BMCBI
2007
113views more  BMCBI 2007»
13 years 7 months ago
In silico panning for a non-competitive peptide inhibitor
Background: Peptide ligands have tremendous therapeutic potential as efficacious drugs. Currently, more than 40 peptides are available in the market for a drug. However, since cos...
Yukiko Yagi, Kotaro Terada, Takahisa Noma, Kazunor...
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
13 years 11 months ago
A hybridized genetic parallel programming based logic circuit synthesizer
Genetic Parallel Programming (GPP) is a novel Genetic Programming paradigm. Based on the GPP paradigm and a local search operator - FlowMap, a logic circuit synthesizing system in...
Wai Shing Lau, Kin-Hong Lee, Kwong-Sak Leung
ALIFE
2005
13 years 7 months ago
Material Representations: From the Genetic Code to the Evolution of Cellular Automata
We present a new definition of the concept of representation for cognitive science that is based on a study of the origin of structures that are used to store memory in evolving sy...
Luis Mateus Rocha, Wim Hordijk