Abstract: Many existing surrogate-assisted optimization algorithms are limited to designing antennas with continuous variables only. However, numerous challenges emerge when tackling antenna ...
What if your biggest challenges could become your greatest teachers? Learn five ACT-based ways to work with problems instead ...
Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
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 ...
Abstract: Deep Reinforcement Learning (DRL) has gained significant attention for its ability to solve combinatorial optimization problems, including the Traveling Salesman Problem (TSP). While ...
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