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 ...
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 ...
Aerospace and Mechanical Insider on MSN
University of Houston advances adaptive drone swarm control
The rapid proliferation of affordable unmanned aerial systems has enabled their deployment in fields ranging from ...
Aerospace and Mechanical Insider on MSN
Explorative PSO for drone swarms in occluded target tracking
In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...
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 ...
Abstract: The particle swarm optimization (PSO) algorithm is a swarm intelligence (SI) algorithm used to solve optimization problems. Owing to its advantages in simplicity, using only a few parameters ...
Researchers at Princeton University have built a swarm of interconnected mini-robots that “bloom” like flowers in response to changing light levels in an office. According to their new paper published ...
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