【源码】用于特征选择的二元差分进化算法

差分进化（DE）的二进制版本被称为二元差分进化（BDE），可以用于特征选择任务。

The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection tasks.

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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参考文献：

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.

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