PySwarms: a research toolkit for Particle Swarm Optimization in Python

Particle swarm optimization (PSO) is a heuristic search technique that iteratively improves a set of candidate solutions given an objective measure of fitness (Kennedy and Eberhart 1995b). Although vanilla implementations of PSO can be found in some Python evolutionary algorithm toolboxes (Fortin et al. 2012; Biscani, Izzo, and Märtens 2017), a PSO-specific library that focuses on the said technique is still an open challenge.