Particle Swarm Optimization (PSO) is a computational technique inspired by the social behavior of birds and fish. It is used to find optimal solutions by iteratively improving candidate solutions with respect to a given measure of quality. In simple terms, PSO involves a group of particles (potential solutions) that move around the search space to find the best solution.
