Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...

Abstract: Evolutionary algorithms (EAs) exhibit diverse performance across different optimization problems, making the automated selection of the most suitable EA an important yet challenging task.

Robotic automation is a key technology that increases the efficiency and flexibility of manufacturing processes. However, one of the challenges in deploying robots in novel environments is finding the ...