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

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 ...

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

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

Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial ...

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

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, ...

Abstract: Disassembly lines play a crucial role in the recycling and reuse of end-of-life (EOL) products to promote environmental protection and economic benefits. However, the diverse characteristics ...

This study develops a particle swarm optimization (PSO)-based assessment system for evaluating upper extremity and shoulder joint muscle strength with potential application to stroke rehabilitation.

Abstract: The research on Optimal Power Flow (OPF) problems in power systems has undergone significant development, yet a significant gap persists in effectively addressing the multi-objective nature ...