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» A New Parallel Genetic Algorithm
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WSCG
2003
143views more  WSCG 2003»
13 years 11 months ago
Rendering Large (Volume) Datasets: A new Parallel Visualization System
In this paper we describe a basis for a system that is able to compute actual scientific and realistic visualization methods in parallel. It is capable to integrate easily in mod...
Sascha Schneider, Thorsten May, Michael Schmidt
GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
14 years 3 months ago
Evolutionary Ensemble for Stock Prediction
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
Yung-Keun Kwon, Byung Ro Moon
BMCBI
2004
158views more  BMCBI 2004»
13 years 10 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, ...
GECCO
2007
Springer
437views Optimization» more  GECCO 2007»
14 years 4 months ago
A gestalt genetic algorithm: less details for better search
The basic idea to defend in this paper is that an adequate perception of the search space, sacrificing most of the precision, can paradoxically accelerate the discovery of the mo...
Christophe Philemotte, Hugues Bersini
GECCO
2003
Springer
160views Optimization» more  GECCO 2003»
14 years 3 months ago
Hybridization of Estimation of Distribution Algorithms with a Repair Method for Solving Constraint Satisfaction Problems
Estimation of Distribution Algorithms (EDAs) are new promising methods in the field of genetic and evolutionary algorithms. In the case of conventional Genetic and Evolutionary Al...
Hisashi Handa