Binary Differential Evolution for Feature Selection
The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection tasks.
https://github.com/JingweiToo/Binary-Differential-Evolution-for-Feature-Selection
This toolbox offers Binary Differential Evolution (BDE) method
The < Main.m file > illustrates the example of how BDE can solve the feature selection problem using benchmark data-set.
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引用格式
Too, Jingwei, et al. “Hybrid Binary Particle Swarm Optimization Differential Evolution-Based Feature Selection for EMG Signals Classification.” Axioms, vol. 8, no. 3, MDPI AG, July 2019, p. 79, doi:10.3390/axioms8030079.
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.
| 版本 | 已发布 | 发行说明 | Action |
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| 1.3 | See release notes for this release on GitHub: https://github.com/JingweiToo/Binary-Differential-Evolution-for-Feature-Selection/releases/tag/1.3 |
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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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| 1.0.4 | - |
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| 1.0.3 | - |
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| 1.0.2 | - |
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| 1.0.1 | Add paper |
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| 1.0.0 |
