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CEC
2010
IEEE
13 years 11 months ago
A mixed strategy for Evolutionary Programming based on local fitness landscape
The performance of Evolutionary Programming (EP) is affected by many factors (e.g. mutation operators and selection strategies). Although the conventional approach with Gaussian mu...
Liang Shen, Jun He
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
14 years 4 months ago
Robust multi-cellular developmental design
This paper introduces a continuous model for Multi-cellular Developmental Design. The cells are fixed on a 2D grid and exchange ”chemicals” with their neighbors during the gr...
Alexandre Devert, Nicolas Bredeche, Marc Schoenaue...
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
14 years 3 months ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia
BMCBI
2005
81views more  BMCBI 2005»
13 years 10 months ago
Evolutionary sequence analysis of complete eukaryote genomes
Background: Gene duplication and gene loss during the evolution of eukaryotes have hindered attempts to estimate phylogenies and divergence times of species. Although current meth...
Jaime E. Blair, Prachi Shah, S. Blair Hedges
SCAI
2008
13 years 11 months ago
Modeling Habituation in the Cnidarian Hydra
Abstract. In the design of behavior-based control architectures for robots it is common to use biology as inspiration, and often the observed functionalities of insect behaviors ar...
Malin Aktius, Mats Nordahl, Tom Ziemke