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 ...

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 ...

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

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 ...

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 ...

Water distribution network (WDN) optimization has received special attention from various technicians and researchers, mainly due to its high costs of implementation, operation and maintenance.

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

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 ...

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