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

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

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

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

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 ...

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 ...

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

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

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

For K-Swarm, an M-346FA manned jet (left) took control of an unmanned Kizilelma unmanned combat aerial vehicle (right). (Baykar, Leonardo ) Baykar and Leonardo have demonstrated the crewed-uncrewed ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.