A unified benchmarking framework comparing seven metaheuristics across six engineering plants and classical baselines finds ...

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

In some cases (e.g., design of integrated circuit layouts), the goal is to find a set of variables that satisfies the constraints of the model. The user does not want to optimize anything in ...

Industrial organizations are racing to implement AI, yet many struggle to demonstrate concrete value from their investments. The missing element isn't better algorithms or more data; it's clarity ...

Researchers have enhanced a manta ray-inspired optimization algorithm with chaotic switching factors and dynamic penalty functions, achieving lower costs and emissions than rival methods on combined ...