Hybrid Filter-Wrapper Feature Selection using Modified Flower Pollination Algorithm
A major challenge in machine learning and data science is feature selection. Feature selection involves selecting the optimal (or suboptimal) subset of features to derive useful conclusions from a dataset based on the relevant information contained in those features. Flower Pollination Algorithm (FP...
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| Format: | Article |
| Language: | English |
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Ferdowsi University of Mashhad
2025-05-01
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| Series: | Computer and Knowledge Engineering |
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| Online Access: | https://cke.um.ac.ir/article_46933_475699be14f9d13fca29ac0c2b44265b.pdf |
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| author | Mohammad Ansari Shiri Najme Mansouri |
| author_facet | Mohammad Ansari Shiri Najme Mansouri |
| author_sort | Mohammad Ansari Shiri |
| collection | DOAJ |
| description | A major challenge in machine learning and data science is feature selection. Feature selection involves selecting the optimal (or suboptimal) subset of features to derive useful conclusions from a dataset based on the relevant information contained in those features. Flower Pollination Algorithm (FPA) is a metaheuristic algorithm developed recently based on flower pollination. In this paper, we propose a new type of binary FPA, called the Filter-Wrapper Modified Binary FPA (FWMBFPA), which aims to improve convergence rate and solution quality by combining filter and wrapper advantages. Using FWMBFPA, the exploration process is directed towards specific search areas by extracting the features of existing solutions. 18 UCI datasets are used to evaluate the performance of the method. FWMBFPA generally performs better than the other algorithms in terms of average classification accuracy. FWMBFPA achieves highest classification accuracy with the smallest number of selected features when compared to other algorithms when dealing with datasets with a large number of features. |
| format | Article |
| id | doaj-art-b97dfaceee3f491ebeba7d3bd87b93b2 |
| institution | Kabale University |
| issn | 2538-5453 2717-4123 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Ferdowsi University of Mashhad |
| record_format | Article |
| series | Computer and Knowledge Engineering |
| spelling | doaj-art-b97dfaceee3f491ebeba7d3bd87b93b22025-08-26T04:35:20ZengFerdowsi University of MashhadComputer and Knowledge Engineering2538-54532717-41232025-05-0182557410.22067/cke.2025.89191.112446933Hybrid Filter-Wrapper Feature Selection using Modified Flower Pollination AlgorithmMohammad Ansari Shiri0Najme Mansouri1Department of Computer Science, Shahid Bahonar University of Kermanshahid ba honar university of kermanA major challenge in machine learning and data science is feature selection. Feature selection involves selecting the optimal (or suboptimal) subset of features to derive useful conclusions from a dataset based on the relevant information contained in those features. Flower Pollination Algorithm (FPA) is a metaheuristic algorithm developed recently based on flower pollination. In this paper, we propose a new type of binary FPA, called the Filter-Wrapper Modified Binary FPA (FWMBFPA), which aims to improve convergence rate and solution quality by combining filter and wrapper advantages. Using FWMBFPA, the exploration process is directed towards specific search areas by extracting the features of existing solutions. 18 UCI datasets are used to evaluate the performance of the method. FWMBFPA generally performs better than the other algorithms in terms of average classification accuracy. FWMBFPA achieves highest classification accuracy with the smallest number of selected features when compared to other algorithms when dealing with datasets with a large number of features.https://cke.um.ac.ir/article_46933_475699be14f9d13fca29ac0c2b44265b.pdffeature selectionflower pollination algorithmfilterwrapper |
| spellingShingle | Mohammad Ansari Shiri Najme Mansouri Hybrid Filter-Wrapper Feature Selection using Modified Flower Pollination Algorithm Computer and Knowledge Engineering feature selection flower pollination algorithm filter wrapper |
| title | Hybrid Filter-Wrapper Feature Selection using Modified Flower Pollination Algorithm |
| title_full | Hybrid Filter-Wrapper Feature Selection using Modified Flower Pollination Algorithm |
| title_fullStr | Hybrid Filter-Wrapper Feature Selection using Modified Flower Pollination Algorithm |
| title_full_unstemmed | Hybrid Filter-Wrapper Feature Selection using Modified Flower Pollination Algorithm |
| title_short | Hybrid Filter-Wrapper Feature Selection using Modified Flower Pollination Algorithm |
| title_sort | hybrid filter wrapper feature selection using modified flower pollination algorithm |
| topic | feature selection flower pollination algorithm filter wrapper |
| url | https://cke.um.ac.ir/article_46933_475699be14f9d13fca29ac0c2b44265b.pdf |
| work_keys_str_mv | AT mohammadansarishiri hybridfilterwrapperfeatureselectionusingmodifiedflowerpollinationalgorithm AT najmemansouri hybridfilterwrapperfeatureselectionusingmodifiedflowerpollinationalgorithm |