Feature Selection Problem and Metaheuristics: A Systematic Literature Review about Its Formulation, Evaluation and Applications
Feature selection is becoming a relevant problem within the field of machine learning. The feature selection problem focuses on the selection of the small, necessary, and sufficient subset of features that represent the general set of features, eliminating redundant and irrelevant information. Given...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
|
| Series: | Biomimetics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-7673/9/1/9 |
| _version_ | 1797344540128968704 |
|---|---|
| author | José Barrera-García Felipe Cisternas-Caneo Broderick Crawford Mariam Gómez Sánchez Ricardo Soto |
| author_facet | José Barrera-García Felipe Cisternas-Caneo Broderick Crawford Mariam Gómez Sánchez Ricardo Soto |
| author_sort | José Barrera-García |
| collection | DOAJ |
| description | Feature selection is becoming a relevant problem within the field of machine learning. The feature selection problem focuses on the selection of the small, necessary, and sufficient subset of features that represent the general set of features, eliminating redundant and irrelevant information. Given the importance of the topic, in recent years there has been a boom in the study of the problem, generating a large number of related investigations. Given this, this work analyzes 161 articles published between 2019 and 2023 (20 April 2023), emphasizing the formulation of the problem and performance measures, and proposing classifications for the objective functions and evaluation metrics. Furthermore, an in-depth description and analysis of metaheuristics, benchmark datasets, and practical real-world applications are presented. Finally, in light of recent advances, this review paper provides future research opportunities. |
| first_indexed | 2024-03-08T11:04:12Z |
| format | Article |
| id | doaj.art-4093d69cccab40bd93a730923a9eca45 |
| institution | Directory Open Access Journal |
| issn | 2313-7673 |
| language | English |
| last_indexed | 2024-03-08T11:04:12Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biomimetics |
| spelling | doaj.art-4093d69cccab40bd93a730923a9eca452024-01-26T15:15:23ZengMDPI AGBiomimetics2313-76732023-12-0191910.3390/biomimetics9010009Feature Selection Problem and Metaheuristics: A Systematic Literature Review about Its Formulation, Evaluation and ApplicationsJosé Barrera-García0Felipe Cisternas-Caneo1Broderick Crawford2Mariam Gómez Sánchez3Ricardo Soto4Escuela de Ingeniería Informática, Pontificia Universidad Católica de Valparaíso, Avenida Brasil 2241, Valparaíso 2362807, ChileEscuela de Ingeniería Informática, Pontificia Universidad Católica de Valparaíso, Avenida Brasil 2241, Valparaíso 2362807, ChileEscuela de Ingeniería Informática, Pontificia Universidad Católica de Valparaíso, Avenida Brasil 2241, Valparaíso 2362807, ChileDepartamento de Electrotecnia e Informática, Universidad Técnica Federico Santa María, Federico Santa María 6090, Viña del Mar 2520000, ChileEscuela de Ingeniería Informática, Pontificia Universidad Católica de Valparaíso, Avenida Brasil 2241, Valparaíso 2362807, ChileFeature selection is becoming a relevant problem within the field of machine learning. The feature selection problem focuses on the selection of the small, necessary, and sufficient subset of features that represent the general set of features, eliminating redundant and irrelevant information. Given the importance of the topic, in recent years there has been a boom in the study of the problem, generating a large number of related investigations. Given this, this work analyzes 161 articles published between 2019 and 2023 (20 April 2023), emphasizing the formulation of the problem and performance measures, and proposing classifications for the objective functions and evaluation metrics. Furthermore, an in-depth description and analysis of metaheuristics, benchmark datasets, and practical real-world applications are presented. Finally, in light of recent advances, this review paper provides future research opportunities.https://www.mdpi.com/2313-7673/9/1/9feature selection problemoptimizationmetaheuristicsclassifierevaluation metricsobjective function |
| spellingShingle | José Barrera-García Felipe Cisternas-Caneo Broderick Crawford Mariam Gómez Sánchez Ricardo Soto Feature Selection Problem and Metaheuristics: A Systematic Literature Review about Its Formulation, Evaluation and Applications Biomimetics feature selection problem optimization metaheuristics classifier evaluation metrics objective function |
| title | Feature Selection Problem and Metaheuristics: A Systematic Literature Review about Its Formulation, Evaluation and Applications |
| title_full | Feature Selection Problem and Metaheuristics: A Systematic Literature Review about Its Formulation, Evaluation and Applications |
| title_fullStr | Feature Selection Problem and Metaheuristics: A Systematic Literature Review about Its Formulation, Evaluation and Applications |
| title_full_unstemmed | Feature Selection Problem and Metaheuristics: A Systematic Literature Review about Its Formulation, Evaluation and Applications |
| title_short | Feature Selection Problem and Metaheuristics: A Systematic Literature Review about Its Formulation, Evaluation and Applications |
| title_sort | feature selection problem and metaheuristics a systematic literature review about its formulation evaluation and applications |
| topic | feature selection problem optimization metaheuristics classifier evaluation metrics objective function |
| url | https://www.mdpi.com/2313-7673/9/1/9 |
| work_keys_str_mv | AT josebarreragarcia featureselectionproblemandmetaheuristicsasystematicliteraturereviewaboutitsformulationevaluationandapplications AT felipecisternascaneo featureselectionproblemandmetaheuristicsasystematicliteraturereviewaboutitsformulationevaluationandapplications AT broderickcrawford featureselectionproblemandmetaheuristicsasystematicliteraturereviewaboutitsformulationevaluationandapplications AT mariamgomezsanchez featureselectionproblemandmetaheuristicsasystematicliteraturereviewaboutitsformulationevaluationandapplications AT ricardosoto featureselectionproblemandmetaheuristicsasystematicliteraturereviewaboutitsformulationevaluationandapplications |