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 review maps the evolution of cloud task scheduling algorithms, from classical heuristics to nature-inspired ...

Researchers have introduced Hooded Seal optimization, a swarm-based evolutionary metaheuristic that outperformed or matched ...

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 ...