With the increase of feature dimension, evolutionary algorithm-based feature selection methods face the challenge of “curse of dimensionality” and high computational cost. In order to deal with this ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Long-term tracking shows a Burmese python is rewriting assumptions about breeding, giving new intel for Florida's battle ...

As AI takes on the heavy lifting, developers must master the ability to prompt models, evaluate model output, and above all, ...

Abstract: Dynamic multiobjective optimization problems (DMOPs) frequently arise in real-world applications, where environments evolve over time. A central challenge in solving DMOPs is the ability to ...