PSO Variants

Particle Swarm Optimization (PSO) variants are different versions of a technique inspired by nature, specifically how bird flocks or fish schools move together. These variants modify the basic algorithm to improve performance, convergence speed, or accuracy in solving complex problems. For example, some incorporate adaptive parameters to better explore solutions, while others introduce mutation-like processes to avoid getting stuck in suboptimal results. Essentially, PSO variants are tailored approaches to make the search process more efficient and effective across diverse optimization tasks.