Abstract: Multi-objective evolutionary algorithms (MOEAs) have demonstrated significant success in solving multi-objective optimization problems (MOPs). However, their performance is highly sensitive ...
Abstract: Data-driven optimization problems (DDOPs) have become increasingly prevalent in real-world applications where analytical models are unavailable or expensive to evaluate. Data-driven ...
Developed by Professor Sam Kriegman, AI-designed metamachines can run in the wild, recover from damage, and transform into new shapes.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results