TSD, a three-population, two-stage evolutionary algorithm that significantly outperforms seven state-of-the-art methods on ...

Numerous real-world applications involve large-scale multi-objective optimization problems (LSMOPs) with hundreds or even thousands of decision variables. Although multi-objective evolutionary ...

A new Scientific Reports study presents an interpretable ANFIS-NSGA-II framework that fuses seven wearable health risk ...

Expensive optimization problem (EOP) refers to the problem that requires expensive or even unaffordable costs to evaluate candidate solutions, which widely exist in many significant real-world ...