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GECCO
2008
Springer
152views Optimization» more  GECCO 2008»
13 years 5 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...
CIMCA
2005
IEEE
13 years 10 months ago
A Hybrid Estimation of Distribution Algorithm for the Minimal Switching Graph Problem
Minimal Switching Graph (MSG) is a graphical model for the constrained via minimization problem — a combinatorial optimization problem in integrated circuit design automation. F...
Maolin Tang, Raymond Y. K. Lau
CEC
2007
IEEE
13 years 11 months ago
On the analysis of average time complexity of estimation of distribution algorithms
— Estimation of Distribution Algorithm (EDA) is a well-known stochastic optimization technique. The average time complexity is a crucial criterion that measures the performance o...
Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
GECCO
2007
Springer
215views Optimization» more  GECCO 2007»
13 years 11 months ago
Addressing sampling errors and diversity loss in UMDA
Estimation of distribution algorithms replace the typical crossover and mutation operators by constructing a probabilistic model and generating offspring according to this model....
Jürgen Branke, Clemens Lode, Jonathan L. Shap...
COLT
2010
Springer
13 years 2 months ago
Forest Density Estimation
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estim...
Anupam Gupta, John D. Lafferty, Han Liu, Larry A. ...