699 search results - page 106 / 140 » A new representation in evolutionary algorithms for the opti... |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Frames have established themselves as a means to derive redundant, yet stable decompositions of a signal for analysis or transmission, while also promoting sparse expansions. Howe...
GECCO
2009
Springer
14 years 8 days ago
2009
Springer
Optimizing the hypervolume indicator within evolutionary multiobjective optimizers has become popular in the last years. Recently, the indicator has been generalized to the weight...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...