Mark A Thornton, Milena Rmus, Amisha D Vyas, Diana I Tamir
Transition dynamics shape mental state concepts
Journal of experimental psychology. General
paper enhanced binary version rat swarm optimizer rso proposed deal feature selection fs problems fs important data reduction step data mining finds representative features entire data many fsbased swarm intelligence algorithms used tackle fs however door still open investigations since fs method gives cuttingedge results cases paper recent swarm intelligence metaheuristic method called rso inspired social hunting behavior group rats enhanced explored fs problems binary enhanced rso built based three successive modifications sshape transfer function used develop binary rso algorithms ii local search paradigm particle swarm optimization used iterative loop rso boost local exploitation iii three crossover mechanisms used controlled switch probability improve diversity based enhancements three versions rso produced referred binary rso brso binary enhanced rso berso binary enhanced rso crossover operators bersoc assess performance versions benchmark 24 datasets various domains used proposed methods assessed concerning fitness value number selected features classification accuracy specificity sensitivity computational time best performance achieved bersoc followed berso brso proposed versions comparatively assessed 25 wellregarded metaheuristic methods five filterbased approaches obtained results underline superiority producing new best results datasets