Simulated Annealing-Based Particle Swarm Optimization Algorithm

This hybrid algorithm combines Particle Swarm Optimization with Simulated Annealing, featuring probabilistic jumping capabilities during the search process that effectively prevent convergence to local minima through temperature-controlled acceptance criteria and dynamic parameter adaptation.