The original brainstorming algorithm and several improved brainstorming algorithms are used for feature selection problems, and 16 test classifications can be selected for testing.
Put the test data file in a folder and name'dataset', run'BFOFS.m','PPBSOFS.m' .etc, and you'll get the experimental results about the classification accuracy.
Articles link：
Original BSO(BSO): https://link.springer.com/chapter/10.1007%2F978-3-642-21515-5_36
Predator–prey BSO(PPBSO): https://ieeexplore.ieee.org/document/6514890
Modified BSO (MBSO): https://ieeexplore.ieee.org/document/6256594
Closed-loop BSO (CLBSO): https://ieeexplore.ieee.org/document/6633027
Ant Colony Optimization(ACO): https://www.sciencedirect.com/science/article/pii/S1672022908600509
Particle swarm optimization(PSO): https://link.springer.com/content/pdf/10.1007/978-0-387-30164-8_630.pdf
Bacterial forage optimization(BFO): https://ieeexplore.ieee.org/abstract/document/1004010/
Sixteen datasets are described in fold dataset. They come from the UCI Machine Learning Repository: http://archive.ics.uci.edu/ml/datasets/Skin+Segmentation and ASU Scikit-feature Feature Selection Repository:http://featureselection.asu.edu/datasets.php.
Editor:Xuesen Yang
Institution: Shenzhen University
E-mail:1348825332@qq.com or 2012110128@email.szu.edu.cn
Edit date:2019-8-18