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Selection (genetic algorithm)

Known as: Elitist (disambiguation), Elitist selection, Selection 
Selection is the stage of a genetic algorithm in which individual genomes are chosen from a population for later breeding (using the crossover… 
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Related topics

Related topics

11 relations
Crossover (genetic algorithm)Evolutionary programmingFitness functionFitness proportionate selection

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
A Top-down Approach to Stress-testing Banks
We propose a simple, parsimonious, and easily implementable method for stress-testing banks using a top-down approach that… 
Highly Cited
2011
Highly Cited
2011
A Hybrid Higher Order Neural Classifier for handling classification problems
2009
2009
From variable weighting to cluster characterization in topographic unsupervised learning
We introduce a new learning approach, which provides simultaneously Self-Organizing Map (SOM) and local weight vector for each… 
Highly Cited
2008
Highly Cited
2008
Beamforming with limited feedback in amplify-and-forward cooperative networks - [transactions letters]
A relay selection approach has previously been shown to outperform repetition-based scheduling for both amplify-and-forward (AF… 
2008
2008
Diversity in State and Federal Appellate Courts: Change and Continuity Across 20 Years
We examine the levels of racial, ethnic, and gender diversity and use of selection systems in state and federal appellate courts… 
Highly Cited
2007
Highly Cited
2007
Influence of selection and replacement strategies on linkage learning in BOA
The Bayesian optimization algorithm (BOA) uses Bayesian networks to learn linkages between the decision variables of an… 
2007
2007
A method for Cα direct-detection in protonless NMR
Highly Cited
2006
Highly Cited
2006
Accepted for publication in ApJ Preprint typeset using L ATEX style emulateapj v. 6/22/04 QUASARS IN THE COSMOS FIELD
  • 2006
  • Corpus ID: 15071537
Highly Cited
1998
Highly Cited
1998
An evolutionary strategy for global minimization and its Markov chain analysis
The mutation-or-selection evolutionary strategy (MOSES) is presented. The goal of this strategy is to solve complex discrete… 
Highly Cited
1996
Highly Cited
1996
A Characterization of Indoor Space and Frequency Diversity by Ray-Tracing Modeling
The performance of space and frequency diversity techniques at 1800 MHz in an indoor environment are investigated. Three linear… 
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