The comparative results, based on four performance indicators—hypervolume (HV), inverted generational distance (IGD), averaged Hausdorff distance (Δp) , and spread—reveal that SLMEA emerged as the ...

In the last decades, a large number of metrics has been proposed to compare the performance of different evolutionary approaches in multi-objective optimization. This situation leads to difficulties ...

Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning ...