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

Abstract: This article presents a hybrid metaheuristic optimization algorithm that combines particle filter (PF) and particle swarm optimization (PSO) algorithms. The new PF–PSO algorithm consists of ...

Abstract: This paper concerns the multi-UAV task assignment problem, which is solved by a multi-objective particle swarm optimization algorithm for adaptive region partitioning. Since the traditional ...

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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 ...

pyswarm is a gradient-free, evolutionary optimization library for Python that implements Particle Swarm Optimization (PSO) with built-in support for constraints. It is lightweight, easy to use, and ...

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 ...

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