Algoritmo Evolucionário com Inspiração Quântica e Sequências Caóticas para Seleção de Atributos em Interfaces Cérebro-Computador

  • Alimed Celecia PUC-Rio
  • Marley Vellasco PUC-Rio

Resumo


Este trabalho descreve a exploração dos efeitos de adicionar ergodicidade a um Algoritmo Evolucionário com inspiração Quântica (QiEA) utilizando sequências caóticas em dois operadores: crossover uniforme caótico e porta quântica de atualização caótica. O algoritmo é aplicado na seleção de atributos de uma aplicação de interface cérebro-computador (BCI) que emprega o eletroencefalograma (EEG) da imaginação do movimento das mãos direita ou esquerda. Os resultados são comparados com os de um QiEA e Algoritmo Genético (GA) tradicionais, demonstrando que o QiEA caótico pode aperfeiçoar significativamente o tempo de convergência do modelo com só uma pequena perda na acurácia final do modelo.

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Publicado
29/11/2021
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CELECIA, Alimed; VELLASCO, Marley. Algoritmo Evolucionário com Inspiração Quântica e Sequências Caóticas para Seleção de Atributos em Interfaces Cérebro-Computador. In: ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 18. , 2021, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 386-397. DOI: https://doi.org/10.5753/eniac.2021.18269.