In optimization and decision-making, multi-objective optimization has emerged as a pivotal challenge. Over the past three decades, the concerted efforts of scholars and practitioners across various ...

To address these challenges, this paper proposes a matrix-driven adaptive dual-space evolutionary optimization algorithm, referred to as MaKAM. The MaKAM algorithm aims to compute the similarity ...