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» Removing the Genetics from the Standard Genetic Algorithm
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GECCO
2009
Springer
254views Optimization» more  GECCO 2009»
14 years 4 months ago
Agglomerative genetic algorithm for clustering in social networks
Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ï¬...
Marek Lipczak, Evangelos E. Milios
GECCO
2003
Springer
14 years 3 months ago
Quad Search and Hybrid Genetic Algorithms
A bit climber using a Gray encoding is guaranteed to converge to a global optimum in fewer than ¢¤£¦¥¨§© evaluations on unimodal 1-D functions and on multi-dimensional sph...
L. Darrell Whitley, Deon Garrett, Jean-Paul Watson
BMCBI
2008
142views more  BMCBI 2008»
13 years 10 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
GECCO
2007
Springer
283views Optimization» more  GECCO 2007»
14 years 4 months ago
Evolving Lucene search queries for text classification
We describe a method for generating accurate, compact, human understandable text classifiers. Text datasets are indexed using Apache Lucene and Genetic Programs are used to constr...
Laurence Hirsch, Robin Hirsch, Masoud Saeedi
EUSFLAT
2001
119views Fuzzy Logic» more  EUSFLAT 2001»
13 years 11 months ago
Optimization of evolutionary strategies to achieve knowledge in faded temporal fuzzy logic controllers
In this document we cany out a comparative analysis of the reasoning strategies implemented in Fuzzy Logic Controllers (hereinafter FLCs) and Faded Temporal Fuzzy Logic Controller...
Manuel A. Gadeo Martos, Juan R. Velasco Pér...