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» Data Mining for Genetics: A Genetic Algorithm Approach
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VLSID
2000
IEEE
94views VLSI» more  VLSID 2000»
14 years 1 months ago
A Genetic Algorithm for the Synthesis of Structured Data Paths
The technique presented here achieves simultaneous optimization of schedule time and data path component cost within a structured data path architecture, using a genetic algorithm...
Chittaranjan A. Mandal, R. M. Zimmer
JCP
2007
108views more  JCP 2007»
13 years 9 months ago
A Genetic Algorithm Method to Assimilate Sensor Data for a Toxic Contaminant Release
— Following a toxic contaminant release, either accidental or intentional, predicting the transport and dispersion of the contaminant becomes a critical problem for Homeland Defe...
Sue Ellen Haupt, George S. Young, Christopher T. A...
BMCBI
2008
95views more  BMCBI 2008»
13 years 9 months ago
Mining protein networks for synthetic genetic interactions
Background: The local connectivity and global position of a protein in a protein interaction network are known to correlate with some of its functional properties, including its e...
Sri R. Paladugu, Shan Zhao, Animesh Ray, Alpan Rav...
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
14 years 2 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
FUZZIEEE
2007
IEEE
14 years 3 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero