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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 programming
Fitness function
Fitness proportionate selection
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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
P. Kapinos
,
Oscar A. Mitnik
2015
Corpus ID: 154199583
We propose a simple, parsimonious, and easily implementable method for stress-testing banks using a top-down approach that…
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Highly Cited
2011
Highly Cited
2011
A Hybrid Higher Order Neural Classifier for handling classification problems
Mehdi Fallahnezhad
,
M. Moradi
,
S. Zaferanlouei
Expert systems with applications
2011
Corpus ID: 6862785
2009
2009
From variable weighting to cluster characterization in topographic unsupervised learning
Nistor Grozavu
,
Younès Bennani
,
M. Lebbah
International Joint Conference on Neural Networks
2009
Corpus ID: 14157057
We introduce a new learning approach, which provides simultaneously Self-Organizing Map (SOM) and local weight vector for each…
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Highly Cited
2008
Highly Cited
2008
Beamforming with limited feedback in amplify-and-forward cooperative networks - [transactions letters]
Yi Zhao
,
R. Adve
,
Teng Joon Lim
IEEE Transactions on Wireless Communications
2008
Corpus ID: 52804136
A relay selection approach has previously been shown to outperform repetition-based scheduling for both amplify-and-forward (AF…
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2008
2008
Diversity in State and Federal Appellate Courts: Change and Continuity Across 20 Years
Mark S. Hurwitz
,
D. Lanier
2008
Corpus ID: 142791068
We examine the levels of racial, ethnic, and gender diversity and use of selection systems in state and federal appellate courts…
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Highly Cited
2007
Highly Cited
2007
Influence of selection and replacement strategies on linkage learning in BOA
Cláudio F. Lima
,
M. Pelikán
,
D. Goldberg
,
Fernando G. Lobo
,
K. Sastry
,
Mark Hauschild
IEEE Congress on Evolutionary Computation
2007
Corpus ID: 7614623
The Bayesian optimization algorithm (BOA) uses Bayesian networks to learn linkages between the decision variables of an…
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2007
2007
A method for Cα direct-detection in protonless NMR
W. Bermel
,
I. Bertini
,
+4 authors
P. Turano
2007
Corpus ID: 59062857
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
O. François
IEEE Transactions on Evolutionary Computation
1998
Corpus ID: 2262593
The mutation-or-selection evolutionary strategy (MOSES) is presented. The goal of this strategy is to solve complex discrete…
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Highly Cited
1996
Highly Cited
1996
A Characterization of Indoor Space and Frequency Diversity by Ray-Tracing Modeling
G. Corazza
,
V. Degli‐Esposti
,
M. Frullone
,
G. Riva
IEEE J. Sel. Areas Commun.
1996
Corpus ID: 42848865
The performance of space and frequency diversity techniques at 1800 MHz in an indoor environment are investigated. Three linear…
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