Chaos Particle Swarm Optimization (CPSO)
The Chaos Particle Swarm Optimization (CPSO) algorithm combines the rapid convergence traits of PSO with the ergodic randomness of chaos optimization. At each generation, CPSO performs additional chaotic searches around the optimal solution identified by PSO to mitigate premature convergence to local optima. This enhancement addresses PSO's limitations, making CPSO a highly efficient optimization method suitable for complex search spaces.