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» Genetic Algorithms for Component Analysis
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BMCBI
2008
151views more  BMCBI 2008»
14 years 12 months ago
Application of the Linux cluster for exhaustive window haplotype analysis using the FBAT and Unphased programs
Background: Genetic association studies have been used to map disease-causing genes. A newly introduced statistical method, called exhaustive haplotype association study, analyzes...
Hiroyuki Mishima, Andrew C. Lidral, Jun Ni
GEM
2007
15 years 1 months ago
Initial Population for Genetic Algorithms: A Metric Approach
- Besides the difficulty of the application problem to be solved with Genetic Algorithms (GAs), an additional difficulty arises because the quality of the solution found, or the ...
Pedro A. Diaz-Gomez, Dean F. Hougen
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
15 years 4 months ago
Evolving distributed algorithms with genetic programming: election
In this paper, we present a detailed analysis of the application of Genetic Programming to the evolution of distributed algorithms. This research field has many facets which make...
Thomas Weise, Michael Zapf
ENGL
2007
191views more  ENGL 2007»
14 years 11 months ago
Application of Genetic Algorithm to the Optimization of Gain of Magnetized Ferrite Microstrip Antenna
The application of Genetic Algorithm (GA) to the optimization of gain of microstrip antenna, fabricated on ferrite substrate, biased externally by a steady magnetic field, is repor...
Neela Chattoraj, Jibendu Sekhar Roy
GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
15 years 5 months ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto