Mainly about Particle Swarm _Optimization_ (PSO). Particle swarm adaptation has been shown to successfully optimize a wide range of continuous functions. The algorithm, which is based on a metaphor of social interaction, searches a space by adjusting the trajectories of individuals, called 'particles' as they are conceptualized as moving points in multidimensional space, toward the positions of their own previous best performance and the best previous performance of their neighbors.