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» On the practical genetic algorithms
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ESANN
2001
13 years 9 months ago
Motor control and movement optimization learned by combining auto-imitative and genetic algorithms
In sensorimotor behaviour often a great movement execution variability is combined with a relatively low error in reaching the intended goal. This phenomenon can especially be obse...
Karl-Theodor Kalveram, Ulrich Nakte
JUCS
2010
150views more  JUCS 2010»
13 years 6 months ago
SOM Clustering to Promote Interoperability of Directory Metadata: A Grid-Enabled Genetic Algorithm Approach
: Directories provide a general mechanism for describing resources and enabling information sharing within and across organizations. Directories must resolve differing structures a...
Lei Li, Vijay K. Vaishnavi, Art Vandenberg
ISI
2006
Springer
13 years 8 months ago
Towards Optimal Police Patrol Routes with Genetic Algorithms
It is quite consensual that police patrolling can be regarded as one of the best well-known practices for implementing public-safety preventive policies towards the combat of an as...
Danilo Reis, Adriano Melo, André L. V. Coel...
BMCBI
2008
142views more  BMCBI 2008»
13 years 8 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
CG
2004
Springer
13 years 8 months ago
Procedural 3D texture synthesis using genetic programming
The automatic synthesis of procedural textures for 3D surfaces using genetic programming is investigated. Genetic algorithms employ a search strategy inspired by Darwinian natural...
Adam Hewgill, Brian J. Ross