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A New Quadratic Binary Harris Hawk Optimization for Feature Selection
2019
Electronics
Harris hawk optimization (HHO) is one of the recently proposed metaheuristic algorithms that has proven to be work more effectively in several challenging optimization tasks. However, the original HHO is developed to solve the continuous optimization problems, but not to the problems with binary variables. This paper proposes the binary version of HHO (BHHO) to solve the feature selection problem in classification tasks. The proposed BHHO is equipped with an S-shaped or V-shaped transfer
doi:10.3390/electronics8101130
fatcat:iefusuqsxngvlpffwoyuu7rxle