Abstract: Feature selection is one of the major challenges in machine learning problems. It reduces the number of features and improves performance by removing the irrelevant and unnecessary ones.

Abstract: Large-scale multiobjective binary optimization problems (MBOPs) often occur in real-world applications, where the function evaluation can only be performed through computationally expensive ...