Globally Convergent Stochastic Particle Swarm Optimization Algorithm

A globally convergent stochastic particle swarm optimization algorithm with convergence guarantee. When the optimal particle's solution stagnates, mutation operations are applied to its position and velocity vectors to prevent premature convergence. The algorithm guarantees global convergence given sufficient iterations, with implementation typically involving fitness evaluation checks and adaptive mutation triggers.