差分进化 (DE) 的二进制版本，称为二进制差分进化 (BDE)，适用于特征选择任务_MATLAB_代码_下载

# Binary Differential Evolution for Feature Selection [](https://www.mathworks.com/matlabcentral/fileexchange/71515-binary-differential-evolution-for-feature-selection) [](https://github.com/JingweiToo/Binary-Differential-Evolution-for-Feature-Selection/blob/master/LICENSE) [](https://github.com/JingweiToo/Binary-Differential-Evolution-for-Feature-Selection)  ## Introduction * This toolbox offers Binary Differential Evolution ( BDE ) method * The `Main` file illustrates the example of how BDE can solve the feature selection problem using benchmark data-set. ## Input * *`feat`* : feature vector ( Instances *x* Features ) * *`label`* : label vector ( Instances *x* 1 ) * *`N`* : number of solutions * *`max_Iter`* : maximum number of iterations * *`CR`* : crossover rate ## Output * *`sFeat`* : selected features * *`Sf`* : selected feature index * *`Nf`* : number of selected features * *`curve`* : convergence curve ### Example ```code % Benchmark data set load ionosphere.mat; % Set 20% data as validation set ho = 0.2; % Hold-out method HO = cvpartition(label,'HoldOut',ho); % Parameter setting N = 10; max_Iter = 100; CR = 0.9; % Binary Differential Evolution [sFeat,Sf,Nf,curve] = jBDE(feat,label,N,max_Iter,CR,HO); % Plot convergence curve plot(1:max_Iter,curve); xlabel('Number of generations'); ylabel('Fitness Value'); title('BDE'); grid on; ``` ## Requirement * MATLAB 2014 or above * Statistics and Machine Learning Toolbox ## Cite As ```code @article{too2019hybrid, title={Hybrid Binary Particle Swarm Optimization Differential Evolution-Based Feature Selection for EMG Signals Classification}, author={Too, Jingwei and Abdullah, Abdul Rahim and Mohd Saad, Norhashimah}, journal={Axioms}, volume={8}, number={3}, pages={79}, year={2019}, publisher={Multidisciplinary Digital Publishing Institute} } @article{too2019emg, title={EMG feature selection and classification using a Pbest-guide binary particle swarm optimization}, author={Too, Jingwei and Abdullah, Abdul Rahim and Mohd Saad, Norhashimah and Tee, Weihown}, journal={Computation}, volume={7}, number={1}, pages={12}, year={2019}, publisher={Multidisciplinary Digital Publishing Institute} } ```