with the improvement of profoundly efficient chemoinformatics data collection technology,
classification of chemical data emerges as a vital topic in chemoinformatics. Towards building highly
accurate predictive models for chemical data, here we introduce two feature selection algorithms. The
first algorithm based on Chicken swarm optimization (FS-CSO) and the second algorithm based on
Particle swarm optimization (FS-PSO). The proposed algorithms were applied to four datasets and FSCSO
proves advance over FS-PSO. Also, the two algorithms compared against two previous
algorithms, BPSO-BP and BPSO-PSO, that used