rate. A hybrid algorithm which uses a modified binary particle swarm optimization called mutated binary particle swarm … optimization and binary genetic algorithm is proposed in this article which enhanced the exploration and exploitation capability …

Purpose Binary classification on imbalanced data is a challenge; due to the imbalance of the classes, the minority … twin-support vector machines for binary classification on imbalanced data. Design/methodology/approach In the proposed … novel twin-support vector machine is proposed for binary classification on imbalanced data, and new kernels are derived. (2 …