Abstract: In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. By leveraging Karush-Kuhn-Tucker (KKT) optimality conditions, we ...

Abstract: Multi-objective evolutionary algorithms (MOEAs) have demonstrated significant success in solving multi-objective optimization problems (MOPs). However, their performance is highly sensitive ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or ...

Against the backdrop of global change—characterized by climate warming, shifting precipitation patterns, and intensified anthropogenic disturbances—the ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Learn how multi-location brands fix complex marketing & GBP challenges with an AI layer and a 4-step local optimization ...