Hybrid Binary Butterfly Optimization Algorithm and Simulated Annealing for Feature Selection Problem
Feature selection is performed to eliminate irrelevant features to reduce computational overheads. Metaheuristic algorithms have become popular for the task of feature selection due to their effectiveness and flexibility. Hybridization of two or more such metaheuristics has become popular in solving...
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| Published in: | International journal of applied metaheuristic computing Vol. 13; no. 1; pp. 1 - 18 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
IGI Global
17.06.2022
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| Subjects: | |
| ISSN: | 1947-8283, 1947-8291 |
| Online Access: | Get full text |
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