Particle Swarm Optimization: A Study on Enhancement of Algorithm
Ankita Singhai · 2020
Particle Swarm Optimization is the hypothetical optimizing approach which is encouraged by the collective and friendly nature of group of birds or schools of fish. Recently many advance techniques have been researched on optimization technique and its variations, they derived various new improved versions of optimization technique, developed a new method to achieve the goal state, proposed many variants of the algorithm. Nowadays many types of research are in different areas like data mining, cloud computing, wireless sensor networking, etc with either Standard Particle Swarm Optimization technique or improved version of it. One of the latest research in this area is improving the particle’s movement method towards a goal state. The effectiveness of the algorithm totally depends on the selection of control parameters and velocity update strategies. In this article, various enhancement on the particle’s movement rule towards goal state is discussed.