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GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 3 months ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
CEC
2005
IEEE
15 years 3 months ago
On improving genetic programming for symbolic regression
This paper reports an improvement to genetic programming (GP) search for the symbolic regression domain, based on an analysis of dissimilarity and mating. GP search is generally di...
Steven Gustafson, Edmund K. Burke, Natalio Krasnog...
GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
15 years 3 months ago
Coevolution and Linear Genetic Programming for Visual Learning
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
Krzysztof Krawiec, Bir Bhanu
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
15 years 4 months ago
Learning building block structure from crossover failure
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 ...
Zhenhua Li, Erik D. Goodman
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 3 months ago
Isolating the benefits of respect
The three mechanisms of crossover are transmission, assortment, and respect. Of these three mechanisms, assortment (i.e. recombination) is traditionally viewed as the primary feat...
Stephen Chen, Gregory Pitt