Abstract: Expensive multi-objective binary optimization problems frequently emerge in real-world applications, where evaluating a single solution incurs significant computational or physical costs.
An international study has demonstrated that utility-scale solar PV paired with hydraulic hydro storage (HHS) could reach an ...
Abstract: Multimodal multi-objective optimization problems (MMOPs) are prevalent in real-world applications and have emerged as a significant research focus in evolutionary computation. Unlike ...