Main Article Content
This scholarly article presents the development and implementation of a potential global optimizing algorithm, named Particle Swarm Optimization (PSO). In recent years, substantial efforts related to the applications of PSO to various areas in engineering problems have been carried out. Therefore, this article briefly gives the details of PSO development associated with the different research areas. Furthermore, it is aimed at encouraging the understanding about PSO searching characteristics; thus, the Schaffer’s f6 benchmark function is also adopted for validation. Finally, the future trend of improving the PSO performance is suggested.
Download data is not yet available.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.