33 search results - page 2 / 7 » Learning building block structure from crossover failure |
JMLR
2007
13 years 5 months ago
2007
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
GECCO
2007
Springer
13 years 9 months ago
2007
Springer
The Building Block Hypothesis suggests that Genetic Algorithms (GAs) are well-suited for hierarchical problems, where efficient solving requires proper problem decomposition and a...
EH
2003
IEEE
13 years 10 months ago
2003
IEEE
In the present paper, single-opamp sinusoidal oscillators are synthesized using genetic algorithms. The motivation is to evolve new topologies of oscillators using different activ...
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
In some cases, evolutionary algorithms represent individuals as typical binary trees with n leaves and n-1 internal nodes. When designing a crossover operator for a particular rep...
FLAIRS
2001
13 years 6 months ago
2001
We introduce a new genetic operator, Reduction, that rectifies decision trees not correct syntactically and at the same time removes the redundant sections within, while preservin...