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» The Spatially-Dispersed Genetic Algorithm
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BMCBI
2004
158views more  BMCBI 2004»
15 years 3 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
ICPR
2000
IEEE
16 years 5 months ago
Optimal Range Segmentation Parameters through Genetic Algorithms
A wide number of algorithmsfor surjtiacesegmentationin range images have been recentlyproposed characterizedby different approaches (edgefilling, regiongrowing, ...), different su...
Luigi Cinque, Stefano Levialdi, Gianluca Pignalber...
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 10 months ago
Inducing a generative expressive performance model using a sequential-covering genetic algorithm
In this paper, we describe an evolutionary approach to inducing a generative model of expressive music performance for Jazz saxophone. We begin with a collection of audio recordin...
Rafael Ramirez, Amaury Hazan
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
15 years 9 months ago
Using a Genetic Algorithm to Design and Improve Storage Area Network Architectures
Abstract. Designing storage area networks is an NP-hard problem. Previous work has focused on traditional algorithmic techniques to automatically determine fabric requirements, net...
Elizabeth Dicke, Andrew Byde, Paul J. Layzell, Dav...
HAIS
2009
Springer
15 years 8 months ago
Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution
— This paper applies the Differential Evolution (DE) and Genetic Algorithm (GA) to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It com...
Debarati Kundu, Kaushik Suresh, Sayan Ghosh, Swaga...