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 ...

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 ...

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

Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable performance for problem solving. The convergence analysis of the method is still in research. This article ...

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 ...

Particle Swarm Optimization (PSO) is a metaheuristic algorithm used for optimising nonlinear continuous functions. PSO is inspired by the social behaviour of animal groups, showcasing knowledge ...