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 ...

Multi‐objective optimisation has emerged as a cornerstone in engineering design, addressing problems that involve simultaneous minimisation or maximisation of two or more conflicting objectives. At ...

Assistant professor Shadfar Davoodi at the Skoltech AI Center has developed an approach for optimizing drilling in ...

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 ...

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...