Review on applications of particle swarm optimization in solar energy systems

摘要: Solar energy is one of the most important factors used in development countries. Since it a renewable source, reduces demand on non-renewable sources such as fossil fuels, oil, natural gas, nuclear, and other sources. Therefore, many researchers have sought to improve performance solar systems via applying several metaheuristic methods particle swarm optimization (PSO) which simulates behavior fish schools or bird flocks. PSO has been different applications including engineering, manufacturing, medicine. The main process determine optimal position for each inside population. This performed through updating using velocity shared information between particles. aim this paper provide review PSO’s identify research gap future work. literature study indicates that very promising method enhance systems.