The architectural advancements in deep neural networks have led to remarkable leap-
forwards across a broad array of computer vision tasks. Instead of relying on human …

While drought impacts are widespread across the globe, climate change projections indicate
more frequent and severe droughts. This underscores the pressing need to increase …

The construction of machine learning models involves many bi-level multiobjective
optimization problems (BL-MOPs), where upper-level (UL) candidate solutions must be …

Recent research in evolutionary multi-objective optimization (EMO) highlights the concept of
“Innovization”, which identifies essential patterns in high-quality, non-dominated solutions …

Bilevel optimization problem (BLOP) refers to a class of problems with a hierarchical
structure, wherein a lower level optimization problem acts as a constraint for an upper level …

Kalyanmoy Deb is University Distinguished Professor at Michigan State University, East
Lansing, USA is Director of Computational Intelligence and Innovation (COIN) Laboratory …

Various excellent graph representation learning models, such as graph neural networks
(GNNs), can produce highly task-specific embeddings in an end-to-end manner. Due to the …