Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
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: Many existing surrogate-assisted optimization algorithms are limited to designing antennas with continuous variables only. However, numerous challenges emerge when tackling antenna ...