Abstract: Distributed optimization has been extensively studied in the past decades due to its wide applications. Most of them aim to optimizing single-objective function. However, in real-world ...

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 ...

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

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

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 ...

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 ...

US firms Reach Power and Gambit have announced their joint SWARM project has received funding from the Department of War’s Operational Energy Capability Improvement Fund (OECIF). The new project ...