883 search results - page 60 / 177 » A Genetic Algorithm Applied to the Maximum Flow Problem |
EGC
2005
Springer
14 years 1 months ago
2005
Springer
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
AE
2001
Springer
14 years 4 days ago
2001
Springer
Abstract. Markov Random Fields (MRFs) 5] are a class of probabalistic models that have been applied for many years to the analysis of visual patterns or textures. In this paper, ou...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
This paper addresses the image registration problem applying genetic algorithms. The image registration’s objective is the definition of a mapping that best match two set of poi...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
The random number generator is one of the important components of evolutionary algorithms (EAs). Therefore, when we try to solve function optimization problems using EAs, we must ...