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A Comparative Analysis of Selection Schemes Used in Genetic Algorithms [chapter]

David E. Goldberg, Kalyanmoy Deb
<span title="">1991</span> <i title="Elsevier"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ju2wfano6vexnmzmcpaf4juvrm" style="color: black;">Foundations of Genetic Algorithms</a> </i> &nbsp;
This paper considers a number of selection schemes commonly used in modern genetic algorithms.  ...  The analysis provides convenient approximate or exact solutions as well as useful convergence time and growth ratio estimates.  ...  Introduction 1 Many claims and counterclaims have been lodged regarding the superiority of this or that selection scheme in genetic algorithms (GAs), but most of these are based on limited (and uncontrolled  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/b978-0-08-050684-5.50008-2">doi:10.1016/b978-0-08-050684-5.50008-2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vyezfhzqxraopezrv5sxqreiqe">fatcat:vyezfhzqxraopezrv5sxqreiqe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810124504/https://www.cse.unr.edu/~sushil/class/gas/papers/Select.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fe/ee/feeec4229f71c6ed155e2f2b732464dbc8c5b93c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/b978-0-08-050684-5.50008-2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Analysis of Selection Methods Used in Genetic Algorithms

Nataliya Gulayeva, Artem Ustilov
<span title="2021-12-10">2021</span> <i title="National University of Kyiv - Mohyla Academy"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s6loo75ydberxaqgf4kkm3n7ou" style="color: black;">NaUKMA Research Papers Computer Science</a> </i> &nbsp;
To illustrate selection method properties, numerous runs of genetic algorithms using the only selection method and no other genetic operator are conducted, and numerical characteristics of analyzed properties  ...  This paper offers a comprehensive review of selection methods used in the generational genetic algorithms.Firstly, a brief description of the following selection methods is presented: fitness proportionate  ...  Відбір відтинанням (truncation selection) допускає до відбору лише Т найкращих особин популяції.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18523/2617-3808.2021.4.29-43">doi:10.18523/2617-3808.2021.4.29-43</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/57cwxsxa4rcdlden7zkwkx5xyu">fatcat:57cwxsxa4rcdlden7zkwkx5xyu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220309055543/http://nrpcomp.ukma.edu.ua/article/download/246585/244041" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/93/ac/93ac539056ca115a9bab86f847632ea894b7447f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18523/2617-3808.2021.4.29-43"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Analysis of selection, mutation and recombination in genetic algorithms [chapter]

Heinz Mühlenbein, Dirk Schlierkamp-Voosen
<span title="">1995</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
The theory is applied to analyze selection, mutation and recombination. The results are used in the Breeder Genetic Algorithm whose performance is shown to be superior to other genetic algorithms.  ...  In this paper a theory is outlined which is based on the science of plant and animal breeding. A central part of the theory is the response to selection equation and the concept of heritability.  ...  Proportionate selection as used by the simple genetic algorithm is ine cient.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-59046-3_9">doi:10.1007/3-540-59046-3_9</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/m432s4nmtvhrdgag23n5kat3oe">fatcat:m432s4nmtvhrdgag23n5kat3oe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150220051940/http://muehlenbein.org/analselmut95.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/26/b4/26b4c7112283a85c8b8af43aea73e3c8e8581e9d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-59046-3_9"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Modeling and Analysis of Genetic Algorithm with Tournament Selection [chapter]

Anton V. Eremeev
<span title="">2000</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this paper we propose a mathematical model of a simplified version of genetic algorithm (GA) based on mutation and tournament selection and obtain upper and lower bounds on expected proportion of the  ...  Introduction In this paper we propose a mathematical model of a simplified version of the genetic algorithm (GA) based on mutation and selection operators and evaluate the probability distribution of its  ...  In literature there are other standard operators, besides the tournament selection, in use.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/10721187_6">doi:10.1007/10721187_6</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jngvho22wfh7tfylrtlvvcu4ra">fatcat:jngvho22wfh7tfylrtlvvcu4ra</a> </span>
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Public Portfolio Selection Combining Genetic Algorithms and Mathematical Decision Analysis [chapter]

Eduardo Fernndez-Gonzlez, Ins Vega-Lpez, Jorge Navarro-Castillo
<span title="2012-03-07">2012</span> <i title="InTech"> Bio-Inspired Computational Algorithms and Their Applications </i> &nbsp;
Acknowledgements This work was sponsored in part by the Mexican Council for Science and Technology (CONACyT) under grants 57255 and 106098. References  ...  A Genetic Algorithm for Project Portfolio Selection.  ...  A Genetic Algorithm for Project Portfolio Selection For the selection stage, the roulette wheel technique was used.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/38121">doi:10.5772/38121</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/46vwae43b5azbphytwkpsqojhu">fatcat:46vwae43b5azbphytwkpsqojhu</a> </span>
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Performance Analysis Of Genetic Algorithm With Knn And Svm For Feature Selection In Tumor Classification

C. Gunavathi, K. Premalatha
<span title="2014-09-03">2014</span> <i title="Zenodo"> Zenodo </i> &nbsp;
In the proposed method, Genetic Algorithm (GA) is used for effective feature selection. Informative genes are identified based on the T-Statistics, Signal-to-Noise Ratio (SNR) and F-Test values.  ...  With the help of the selected genes, GA-kNN method achieves 100% accuracy in 4 datasets and GA-SVM method achieves in 5 out of 10 datasets.  ...  A comparative analysis of swarm intelligence techniques for feature selection in cancer classification is used in [20] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.1096102">doi:10.5281/zenodo.1096102</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2ol3grhpqrbpzogdc2ht7l4634">fatcat:2ol3grhpqrbpzogdc2ht7l4634</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201230034720/https://zenodo.org/record/1096103/files/9999410.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/01/75/017569db984f8e19205077dfd920fb0a7502c2f7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.1096102"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Performance Evaluation of Genetic Algorithm Selection Methods in Outlier Detection: Further Analysis

Ayodeji Oyeyinka EFUNBOADE, OYENIRAN Olubunmi Rotimi, ODENIYI Olufemi Ayodeji
<span title="2022-06-02">2022</span> <i title="Zenodo"> Zenodo </i> &nbsp;
This paper evaluates the performance of some feature selection methods of Genetic Algorithm in outlier detection on fingerprint images.  ...  Feature selection is very crucial in the activities of soft computing algorithms for quality, precision and accuracy.  ...  thank the staff members and students of Computer Science of Osun State College of Technology, Esa-Oke, Nigeria, for giving us the necessary support during the acquisition of the fingerprint images used in  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6606703">doi:10.5281/zenodo.6606703</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lrdmqx2ww5ayhkmvp4m7fmu66u">fatcat:lrdmqx2ww5ayhkmvp4m7fmu66u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220609112258/https://zenodo.org/record/6606704/files/411-Article%20Text-1255-1-10-20220601.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/76/64/76649d970cf4422523326a82ce3a4478a663acee.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6606703"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Predicting Regression Test Failures Using Genetic Algorithm-Selected Dynamic Performance Analysis Metrics [chapter]

Michael Mayo, Simon Spacey
<span title="">2013</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Our framework is evaluated using a genetic algorithm for dynamic metric selection in combination with state-of-the-art machine learning classifiers.  ...  The basic principle embodied in the framework is to use performance analysis tools to capture the runtime behaviour of a program as it executes each test in a regression suite.  ...  analysis [2] , machine learning [3] and genetic algorithms [4] to predict the outcome of unexecuted regression tests in a large regression test suite.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-39742-4_13">doi:10.1007/978-3-642-39742-4_13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7sxkldajdreh7a7d7ektbr2u6e">fatcat:7sxkldajdreh7a7d7ektbr2u6e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170814103318/http://researchcommons.waikato.ac.nz/bitstream/handle/10289/7763/SBSE13.pdf?sequence=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/99/8f/998f10024e745a68e8809ef9a5ff0f1a881dde26.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-39742-4_13"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Genetic algorithm with aggressive mutation for feature selection in BCI feature space

Izabela Rejer
<span title="2014-11-08">2014</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/at6h2du27zgp5hrmgtzl2rteea" style="color: black;">Pattern Analysis and Applications</a> </i> &nbsp;
The aim of this paper is to present a new algorithm for feature selection, called a genetic algorithm with aggressive mutation.  ...  The paper presents both the theoretic background of the algorithm and its application for feature selection in the brain-computer interface (BCI) domain.  ...  One of the methods for feature selection, applied frequently in BCI domain, are genetic algorithms [2, 15] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10044-014-0425-3">doi:10.1007/s10044-014-0425-3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/od4oqxo7gnck5pvrdkjufvqnxa">fatcat:od4oqxo7gnck5pvrdkjufvqnxa</a> </span>
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Analysis of Selection Schemes for Solving an Optimization Problem in Genetic Algorithm

Poonam Sharma, Amit Wadhwa, Komal Komal
<span title="2014-05-16">2014</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
The aim to present this paper is it gives comparative selection strategies for solving an optimization problem in genetic algorithm and evaluates their performance.  ...  The Genetic operators include selection, crossover and mutation.  ...  [Tarun Varshney, Aishwary Katiyar, Pankaj Sharma] [1] Presented a comparative analysis of selection schemes of genetic algorithm to find an optimum and reliable route in wired networks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/16256-5714">doi:10.5120/16256-5714</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/52wrv2rso5dwrnc5lloyipdony">fatcat:52wrv2rso5dwrnc5lloyipdony</a> </span>
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A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data

Christelle Reynès, Robert Sabatier, Nicolas Molinari, Sylvain Lehmann
<span title="">2008</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/akgkzs3bjzgpdixvnrfpwqkvki" style="color: black;">Computational Statistics &amp; Data Analysis</a> </i> &nbsp;
A novel method is proposed to find biomarkers in SELDI-TOF in order to perform robust classification.The feature selection is based on a new genetic algorithm.  ...  The thresholds of the decision stumps are determined in the same genetic algorithm. Finally, the method was generalized to more than two groups based on pairwise coupling.  ...  Choice of the committees by Genetic Algorithm Genetic Algorithms (GA) are inspired by nature and especially by natural selection (Goldberg, 1989; Chatterjee et al., 1996) , they are very useful in complex  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.csda.2008.02.025">doi:10.1016/j.csda.2008.02.025</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vue2rhy7jvc3vjxapxmqwjtsa4">fatcat:vue2rhy7jvc3vjxapxmqwjtsa4</a> </span>
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A Hybrid Grey Relational Analysis and Nondominated Sorting Genetic Algorithm-II for Project Portfolio Selection

Farshad Faezy Razi
<span title="">2014</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7iuqtusxzben3l57md24kaj5du" style="color: black;">Advances in Operations Research</a> </i> &nbsp;
In this study, the projects were first ranked using grey relational analysis to form an optimal portfolio of projects and to create an expert system for the final project selection.  ...  algorithm-II (NSGA-II).  ...  Case Study In this section, a case study is presented for project portfolio selection using hybrid grey relational analysis and nondominated sorting genetic algorithm-II.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2014/954219">doi:10.1155/2014/954219</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sbsupptt6vasxgetafi5iyk26m">fatcat:sbsupptt6vasxgetafi5iyk26m</a> </span>
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Sentiment Analysis Using Naive Bayes Algorithm with Feature Selection Particle Swarm Optimization (PSO) and Genetic Algorithm

Abi Rafdi, Herman Mawengkang Herman, Syahril Efendi
<span title="2021-11-10">2021</span> <i title="Jurnal Komuniksi ISKI"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6vzcqcxy45d3vdqiw6jj5e7p7q" style="color: black;">International Journal of Advances in Data and Information Systems</a> </i> &nbsp;
That way, in this test, a comparison of feature selection is carried out using Particle Swarm Optimization and Genetic Algorithm to improve the accuracy performance of the Naive Bayes algorithm.  ...  The results showed the highest increase for Naïve Bayes algorithm accuracy when using the feature selection of the Particle Swarm Optimization Algorithm from 60.26% to 77.50%, while the genetic algorithm  ...  NAIVE BAYES ALGORITHM TESTING PROCESS WITH GENETIC ALGORITHM SELECTION FEATURE (GA) In this test, experiments were carried out using the Naive Bayes algorithm with feature selection Genetic Algorithm (  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.25008/ijadis.v2i2.1224">doi:10.25008/ijadis.v2i2.1224</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3dy7ish45zbzxamrmdt4jrfzs4">fatcat:3dy7ish45zbzxamrmdt4jrfzs4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220420221416/http://ijadis.org/index.php/IJADIS/article/download/1224/28" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d5/b8/d5b8f9622c38d559ea064407f0df07a5846146af.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.25008/ijadis.v2i2.1224"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

ANALYSIS OF SELECTION SCHEMES FOR SOLVING JOB SHOP SCHEDULING PROBLEM USING GENETIC ALGORITHM

A.Ranjini .
<span title="2013-11-25">2013</span> <i title="eSAT Publishing House"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/m4rdj3kwwfcbvfzkv6kcnagwtm" style="color: black;">International Journal of Research in Engineering and Technology</a> </i> &nbsp;
As the job shop scheduling is an optimization problem, Genetic algorithm was selected to solve it In this study. Selection scheme is one of the important operators of Genetic algorithm.  ...  The choice of selection method to be applied for solving problems has a wide role in the Genetic algorithm process.  ...  R.Sivaraj and Dr.T.Ravichandran [2] presented an overview of Genetic Algorithm and the various selection schemes used in the Genetic Algorithm.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15623/ijret.2013.0211116">doi:10.15623/ijret.2013.0211116</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tlmss6gbcfcjlbv4yjbskulx6e">fatcat:tlmss6gbcfcjlbv4yjbskulx6e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809114820/http://esatjournals.net/ijret/2013v02/i11/IJRET20130211116.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/84/eb/84eb7acb6e04baf0e7c22496af45cf74999c93cf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15623/ijret.2013.0211116"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Optimal Feature Space Selection in Detecting Epileptic Seizure based on Recurrent Quantification Analysis and Genetic Algorithm

Saleh LAshkari, Mehdi Azarnoosh
<span title="">2016</span> <i title="Najafabad Branch, Islamic Azad University"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/w6skklj2qbe5rcw4k654rpq7wu" style="color: black;">Journal of Intelligent Procedures in Electrical Technology</a> </i> &nbsp;
In this study, RQA was used to discriminate ictal EEG from the normal EEG where optimal features selected by combination of algorithm genetic and Bayesian Classifier.  ...  In order to choose optimal threshold for each norm, ten threshold of ε was generated and then the best feature space was selected by genetic algorithm in combination with a bayesian classifier.  ...  Optimal Feature Space Selection in Detecting Epileptic Seizure based on Recurrent Quantification Analysis and Genetic Algorithm Saleh Lashkari (1) -Mahdi Azarnoosh (2) (1) MSc.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://doaj.org/article/20075253cfbc4c2dae17ebaf60e97770">doaj:20075253cfbc4c2dae17ebaf60e97770</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dkdz6lesdjguhpo2k5k2g7mfje">fatcat:dkdz6lesdjguhpo2k5k2g7mfje</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180421013728/http://jipet.iaun.ac.ir/article_14917_9cd792c83aefcb5ceb90b5615b5ae459.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ae/2f/ae2f3a773c504ef2701bb2c01da55fa13142d962.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a>
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