Abstract: Large-scale optimization problem (LSOP) is an essential research topic in the field of evolutionary computation community. Many large-scale optimization algorithms often maintain a large ...

Abstract: Many existing surrogate-assisted optimization algorithms are limited to designing antennas with continuous variables only. However, numerous challenges emerge when tackling antenna ...

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 ...

Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...

The rapid proliferation of affordable unmanned aerial systems has enabled their deployment in fields ranging from ...

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

By 2050, urban centers will house nearly 70% of the global population. Transitioning to localized food production via Urban Agriculture (UA) including ...

A research team has developed an optimized energy management strategy for a hybrid residential microgrid that combines solar ...

Using a Particle Swarm Optimization (PSO) algorithm, the study found that coordinated sizing and dispatch of distributed energy resources can ...

Filip is a long-time gamer and writer with ample experience in both of these industries. Having started his gaming adventure with the venerable PSX, Filip soon discovered dedicated gaming magazines, ...