Binary Dragonfly Algorithm for Feature Selection

版本 1.1 (61.6 KB) 作者: Jingwei Too
Application of Binary Dragonfly Algorithm (BDA) in the feature selection tasks.
430.0 次下载
更新时间 2020/12/20

This toolbox offers a Binary Dragonfly Algorithm (BDA) method

The < Main.m file > illustrates the example of how BDA can solve the feature selection problem using benchmark data-set.

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引用格式

Too, Jingwei, and Seyedali Mirjalili. “A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study.” Knowledge-Based Systems, vol. 212, Elsevier BV, Jan. 2021, p. 106553, doi:10.1016/j.knosys.2020.106553.

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创建方式 R2018a
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版本 已发布 发行说明
1.1

See release notes for this release on GitHub: https://github.com/JingweiToo/Binary-Dragonfly-Algorithm-for-Feature-Selection/releases/tag/1.1

1.0.1

Simplify the algorithm as 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