33 search results - page 1 / 7 » Learning building block structure from crossover failure |
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...
EC
2006
13 years 5 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...
ASIAN
2004
Springer
13 years 8 months ago
2004
Springer
This paper presents a line of research in genetic algorithms (GAs), called building-block identification. The building blocks (BBs) are common structures inferred from a set of sol...
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...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Recent work has provided functions that can be used to prove a principled distinction between the capabilities of mutation-based and crossover-based algorithms. However, prior fun...