Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...

Quantum computing is rewriting the rules of processing power by harnessing qubits, superposition, and entanglement to tackle problems classical computers can’t. From Grover’s speed-boosting searches ...

Abstract: Many real-world problems involve optimizing numerous decision variables and are expensive to evaluate, known as large-scale expensive optimization problems (LSEOPs). While surrogate-assisted ...