Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data-Reference-Cited by-同舟云学术

Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data

Published:2022-07-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
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Author:

Gómez-López Juan Carlos¹,Escobar Juan José¹,Díaz Antonio Francisco¹,Damas Miguel¹,Gil-Montoya Francisco²,González Jesús¹

Affiliation:

1. University of Granada, Granada, Spain

2. University of Almería, Almería, Spain

Funder

European Regional Development Fund

Spanish Ministry of Science, Innovation, and Universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3520304.3528800

Reference10 articles.

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2. Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU–GPU architectures

3. K. Fukunaga . 2013. Introduction to Statistical Pattern Recognition . Elsevier . K. Fukunaga. 2013. Introduction to Statistical Pattern Recognition. Elsevier.

4. A new multi-objective wrapper method for feature selection – Accuracy and stability analysis for BCI

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