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 hybrid AI framework combining deep convolutional networks with multi-objective evolutionary optimization achieves 98.5 ...

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

If foundation models like CNNs and BERT are strong at multiple tasks, then training them on multiple tasks simultaneously ...

Authors William J. M. Probert, C.E. Hauser, E. McDonald-Madden, M.C. Runge, P.W.J. Baxter, H.P. Possingham ...