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 ...
Researchers from Tokyo Metropolitan University have used an evolutionary algorithm to identify optimal shapes for ultra-thin, bio-inspired corrugated airfoils, the two-dimensional cut-throughs of ...
Active noise control has long promised a world where unwanted sound is not blocked but erased, cancelled out by carefully ...