Genetic Algorithm for Feature Selection

版本 1.3 (62.1 KB) 作者: Jingwei Too
Simple algorithm shows how the genetic algorithm (GA) used in the feature selection problem.
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更新时间 2020/12/19
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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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引用格式

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.

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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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版本 已发布 发行说明
1.3

See release notes for this release on GitHub: https://github.com/JingweiToo/Genetic-Algorithm-for-Feature-Selection/releases/tag/1.3
1.2.1

Solve one bug in the fitness function
1.2

Improve code for the fitness function
1.1.0

change to hold-out
1.0.0

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。