Genetic Algorithm for Feature Selection
Simple genetic algorithm (GA) for feature selection tasks, which can select the potential features to improve the classification accuracy.
The < Main.m file > illustrates the example of how GA can solve the feature selection problem using a benchmark data-set.
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引用
Too, Jingwei, and Abdul Rahim Abdullah. “A New and Fast Rival Genetic Algorithm for Feature Selection.” The Journal of Supercomputing, Springer Science and Business Media LLC, July 2020, doi:10.1007/s11227-020-03378-9.
Too, Jingwei, et al. “EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization.” Computation, vol. 7, no. 1, MDPI AG, Feb. 2019, p. 12, doi:10.3390/computation7010012.
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Start Hunting!バージョン | 公開済み | リリース ノート | |
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1.3 | See release notes for this release on GitHub: https://github.com/JingweiToo/Genetic-Algorithm-for-Feature-Selection/releases/tag/1.3 |
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1.2.1 | Solve one bug in the fitness function |
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1.2 | Improve code for the fitness function |
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1.1.0 | change to hold-out |
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1.0.0 |