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Refinado por: assunto: Algoritmos Genéticos remover
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1
First improvement hill climber with linkage learning on introducing dark gray-box optimization into statistical linkage learning genetic algorithms
First improvement hill climber with linkage learning on introducing dark gray-box optimization into statistical linkage learning genetic algorithms
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

First improvement hill climber with linkage learning on introducing dark gray-box optimization into statistical linkage learning genetic algorithms

Michal Witold Przewozniczek Renato Tinós; Marcin Michal Komarnicki; The Genetic and Evolutionary Computation Conference (GECCO '23) (23 2023 Lisbon)

Proceedings GECCO '23 Lisbon, GECCO, 2023

Lisbon 2023

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 3194353 Acervo Digital )(Acessar)

2
NK hybrid genetic algorithm for clustering
NK hybrid genetic algorithm for clustering
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Artigo 		Adicionar ao Meu Espaço

NK hybrid genetic algorithm for clustering

Renato Tinós Liang Zhao; Francisco Chicano; Darrell Whitley

IEEE Transactions on Evolutionary Computation Piscataway v. 22, n. 5, p. 748-761, 2018

Piscataway 2018

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2936229 Estantes Deslizantes )(Acessar)

3
Improving k-means through distributed scalable metaheuristics
Improving k-means through distributed scalable metaheuristics
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Improving k-means through distributed scalable metaheuristics

G. V Oliveira F. P Coutinho; Ricardo José Gabrielli Barreto Campello; M. C Naldi

Neurocomputing Amsterdam : Elsevier v. 246, p. 45-57, July 2017

Amsterdam 2017

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2806078 )(Acessar)

4
Artificial neural network based crossover for evolutionary algorithms
Artificial neural network based crossover for evolutionary algorithms
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Artificial neural network based crossover for evolutionary algorithms

Renato Tinós

Applied Soft Computing Amsterdam v. 95, art. 106512, 2020

Amsterdam 2020

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 3039002 Acervo Digital )(Acessar)

5
Evolving Gaussian mixture models with splitting and merging mutation operators
Evolving Gaussian mixture models with splitting and merging mutation operators
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Evolving Gaussian mixture models with splitting and merging mutation operators

Thiago Ferreira Covões Eduardo Raul Hruschka 1972-; Joydeep Ghosh

Evolutionary Computation Cambridge : MIT Press v. 24, n. 2, p. 293-317, 2016

Cambridge 2016

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2831539 )(Acessar)

6
An evolutionary algorithm for clustering data streams with a variable number of clusters
An evolutionary algorithm for clustering data streams with a variable number of clusters
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An evolutionary algorithm for clustering data streams with a variable number of clusters

Jonathan de Andrade Silva Eduardo Raul Hruschka 1972-; João Gama

Expert Systems with Applications Oxford : Pergamon-Elsevier v. 67, p. 228-238, Jan. 2017

Oxford 2017

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2782797 )(Acessar)

7
Multi-objective genetic algorithms in the study of the genetic code’s adaptability
Multi-objective genetic algorithms in the study of the genetic code’s adaptability
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Multi-objective genetic algorithms in the study of the genetic code’s adaptability

Lariza Laura de Oliveira Alex A Freitas; Renato Tinós

Information Sciences New York v. 425, p. 48-61, 2018

New York 2018

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2885886 Estantes Deslizantes )(Acessar)

8
Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning
Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning
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Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning

Everlandio Rebouças Queiroz Fernandes André Carlos Ponce de Leon Ferreira de Carvalho

Information Sciences New York : Elsevier v. 494, p. 141-154, Aug. 2019

New York 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2940676 )(Acessar)

9
A fusion mechanism for the generalized asymmetric partition crossover
A fusion mechanism for the generalized asymmetric partition crossover
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A fusion mechanism for the generalized asymmetric partition crossover

Renato Tinós Darrell Whitley; IEEE Congress on Evolutionary Computation (CEC) (2018 Rio de Janeiro)

Proceedings Psicataway, 2018

Psicataway 2018

Acesso online. A biblioteca também possui exemplares impressos.

10
An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms
An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms
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An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms

Márcio Porto Basgalupp Rodrigo Coelho Barros; Alex Guimarães Cardoso de Sá; Gisele Lobo Pappa; Rafael Gomes Mantovani; André Carlos Ponce de Leon Ferreira de Carvalho; Alex A Freitas

Evolutionary Intelligence Heidelberg v. 14, n. 4, p. 1895-1914, Dec. 2021

Heidelberg 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3003606 )(Acessar)

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Deste Autor:

  1. Tinós, R
  2. Delbem, A
  3. Silva, J
  4. Whitley, D
  5. Chicano, F

Neste Assunto:

  1. Algoritmos Genéticos
  2. Algoritmos Genéticos
  3. Genetic Algorithms
  4. Optimization
  5. Genetic Algorithm

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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