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» Optinformatics for schema analysis of binary genetic algorit...
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GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
13 years 11 months ago
Genetic drift in univariate marginal distribution algorithm
Like Darwinian-type genetic algorithms, there also exists genetic drift in Univariate Marginal Distribution Algorithm (UMDA). Since the universal analysis of genetic drift in UMDA...
Yi Hong, Qingsheng Ren, Jin Zeng
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
13 years 12 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
GECCO
2005
Springer
125views Optimization» more  GECCO 2005»
13 years 11 months ago
Schema disruption in tree-structured chromosomes
We study if and when the inequality dp(H) ≤ rel∆(H) holds for schemas H in chromosomes that are structured as trees. The disruption probability dp(H) is the probability that a...
William A. Greene
ICDAR
2003
IEEE
13 years 10 months ago
Binary Classification Trees for Multi-class Classification Problems
This paper proposes a binary classification tree aiming at solving multi-class classification problems using binary classifiers. The tree design is achieved in a way that a class ...
Jin-Seon Lee, Il-Seok Oh
DATESO
2008
156views Database» more  DATESO 2008»
13 years 6 months ago
Developing Genetic Algorithms for Boolean Matrix Factorization
Matrix factorization or factor analysis is an important task helpful in the analysis of high dimensional real world data. There are several well known methods and algorithms for fa...
Václav Snásel, Jan Platos, Pavel Kr&...