109 search results - page 20 / 22 » An investigation on evolutionary gradient search for multi-o... |
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Genetic programming may be seen as a recent incarnation of a long-held goal in evolutionary computation: to develop actual computational devices through evolutionary search. Geneti...
ICIP
2003
IEEE
14 years 6 months ago
2003
IEEE
This paper investigates the use of the Bayesian inference for devising an unsupervised sketch rendering procedure. As likelihood model of this inference, we exploit the recent sta...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...