Sciweavers

20 search results - page 3 / 4
» Genetic drift in univariate marginal distribution algorithm
Sort
View
PPSN
2010
Springer
13 years 9 months ago
Globally Induced Model Trees: An Evolutionary Approach
In the paper we propose a new evolutionary algorithm for induction of univariate regression trees that associate leaves with simple linear regression models. In contrast to typical...
Marcin Czajkowski, Marek Kretowski
TEC
2010
173views more  TEC 2010»
13 years 5 months ago
Analysis of Computational Time of Simple Estimation of Distribution Algorithms
Estimation of distribution algorithms (EDAs) are widely used in stochastic optimization. Impressive experimental results have been reported in the literature. However, little work ...
Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
CIMCA
2005
IEEE
14 years 4 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
GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
13 years 12 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...
EUROGP
2007
Springer
161views Optimization» more  EUROGP 2007»
14 years 5 months ago
Mining Distributed Evolving Data Streams Using Fractal GP Ensembles
A Genetic Programming based boosting ensemble method for the classification of distributed streaming data is proposed. The approach handles flows of data coming from multiple loc...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...