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 ...

Researchers have combined non-negative matrix factorization with multi-objective particle swarm optimization to create a ...

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 ...