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Genetic Programming

Known as: Genetic Algorithm 
A method for obtaining an optimal programming algorithm. Thousands of randomly created programs are progressively evolved over time using an… 
National Institutes of Health

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Genetic risk algorithm:Type:Pt:^Patient:Nom

Papers overview

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2009
2009
Identification of Potential Recombination Breakpoints in Human Parechoviruses
ABSTRACT Based on a comparison of the phylogeny of two distant regions, evidence has been found for recombination within… 
Highly Cited
2008
Highly Cited
2008
Genetic programming for creating Chou’s pseudo amino acid based features for submitochondria localization
Given a protein that is localized in the mitochondria it is very important to know the submitochondria localization of that… 
Highly Cited
2007
Highly Cited
2007
Proteometric study of ghrelin receptor function variations upon mutations using amino acid sequence autocorrelation vectors and genetic algorithm-based least square support vector machines.
Highly Cited
2006
Highly Cited
2006
Design, fabrication, and analysis of chirped multilayer mirrors for reflection of extreme-ultraviolet attosecond pulses.
Chirped Mo/Si multilayer coatings have been designed, fabricated, and characterized for use in extreme-ultraviolet attosecond… 
Review
2006
Review
2006
A novel multipurpose Excel tool for equilibrium speciation based on Newton-Raphson method and on a hybrid genetic algorithm.
A new algorithm for simulation of chemical equilibria is developed, based on classical Newton-Raphson method applied to mass… 
2006
2006
Genetic algorithm-assisted combinatorial search for a new green phosphor for use in tricolor white LEDs.
An evolutionary optimization process involving a genetic algorithm and combinatorial chemistry was employed for the development… 
2004
2004
A novel 3D-QSAR comparative molecular field analysis (CoMFA) model of imidazole and quinazolinone functionalized p38 MAP kinase inhibitors.
Highly Cited
2002
Highly Cited
2002
From the reflected spectrum to the properties of a fiber Bragg grating: a genetic algorithm approach with application to distributed strain sensing.
We describe a genetic algorithm approach to solve an inverse problem in optics, which determines the characteristics of a fiber… 
1999
1999
Obtaining functional form for chaotic time series evolution using genetic algorithm.
A genetic algorithm (GA) based strategy is presented for deducing an exact or near-exact functional form from a time series. The… 
Highly Cited
1998
Highly Cited
1998
Genetic programming for classification and feature selection: analysis of 1H nuclear magnetic resonance spectra from human brain tumour biopsies
Genetic programming (GP) is used to classify tumours based on 1H nuclear magnetic resonance (NMR) spectra of biopsy extracts… 
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