Abstract: Particle swarm optimization (PSO) is an evolutionary computation technique based on the social behaviour of flocking bird. The PSO method was first proposed by Kennedy and Eberhart in 1995, ...

As renewable power rapidly reshapes global electricity systems, engineers face a growing challenge: how to operate increasingly complex grids with ...

The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been ...

A hybrid geothermal–biomass system integrates multigeneration heating, cooling, and power through thermodynamic and economic optimization. Using exergy analysis and particle swarm optimization, the ...

Do marketers need to completely rethink their search strategies, or is AI search optimization simply a complement to ...

Abstract: Aiming at the weaknesses of Particle Swarm Optimization algorithm (PSO) such as the easiness to get trapped into local optimal, slow convergence speed, and low precision, an improved PSO ...

An international research team has developed a hybrid maximum power point tracking (MPPT) technique for PV systems that operate under partial shading or rapidly changing atmospheric parameters. The ...

ABSTRACT: Metallic pipeline corrosion poses a significant challenge in the petrochemical industry. In this study, the design and control of a stand-alone photovoltaic (PV)-powered cathodic protection ...