A method of feature selection based on Particle Swarm Optimization algorithm with trans-gene operator

The purpose is to apply the binary particle swarm optimization (BPSO) in feature selection. According to feature selection, the method of particles coding, fitness functions, and feature selection functions were designed. Furthermore, trans-gene operator was adopted to solve BPSOpsilas premature convergence. The simulation experiment results show that the feature subsets selected by this new algorithm are representative. The conclusion is that this algorithm is available and feasible in feature selection.