An Overview of Variants and Advancements of PSO Algorithm

Particle swarm optimization (PSO) is one of the most famous swarm-based techniques inspired by nature. Due to its properties flexibility and easy implementation, there an enormous increase in popularity this nature-inspired technique. has gained prompt attention from every field researchers. Since origin 1995 till now, researchers have improved original varying ways. They derived new versions it, such as published theoretical studies on various parameters PSO, proposed many variants algorithm numerous other advances. In present paper, overview PSO presented. On hand, basic concepts are explained, advances relation including modifications, extensions, hybridization, analysis, included.