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GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
15 years 10 months ago
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
Riccardo Poli, Leonardo Vanneschi
NIPS
1997
15 years 8 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
GECCO
2008
Springer
152views Optimization» more  GECCO 2008»
15 years 7 months ago
Designing EDAs by using the elitist convergent EDA concept and the boltzmann distribution
This paper presents a theoretical definition for designing EDAs called Elitist Convergent Estimation of Distribution Algorithm (ECEDA), and a practical implementation: the Boltzm...
Sergio Ivvan Valdez Peña, Arturo Hern&aacut...
SAC
2003
ACM
15 years 12 months ago
Automatic Code Generation for a Convection Scheme
Traditional design and implementation of large atmospheric models is a difficult, tedious and error prone task. With the CTADEL project we investigate a new method of code genera...
Paul van der Mark, Lex Wolters, Gerard Cats
GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
16 years 7 days ago
G2DGA: an adaptive framework for internet-based distributed genetic algorithms
The Internet is different from traditional parallel computing environments, and Distributed Genetic Algorithms (DGAs) for the Internet need to be designed to address these diffe...
Johan Berntsson