7 search results - page 1 / 2 » Combining competent crossover and mutation operators: a prob... |
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
This paper presents an approach to combine competent crossover and mutation operators via probabilistic model building. Both operators are based on the probabilistic model buildin...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
ITRE
2005
IEEE
13 years 10 months ago
2005
IEEE
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
CORR
2004
Springer
13 years 4 months ago
2004
Springer
Abstract. This paper presents two different efficiency-enhancement techniques for probabilistic model building genetic algorithms. The first technique proposes the use of a mutatio...
EC
2006
13 years 4 months ago
2006
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...