中文说明：基于模拟退火的粒子群优化算法，其基本思想是在小范围内随机扰动生成一个新位置，并计算新旧位置的适应值，按照模拟退火算法的Metropolis接受准则，接受一个新位置作为最优位置。试算结果表明，该方法显著改善了优化的效果，并加快了算法的收敛速度，提高了反演效率。
English Description：
Particle Swarm Optimization algorithm based on simulated annealing, the basic idea is to randomly generate a new location within a narrow range, and calculate the fitness value of old and new locations, according to the Metropolis of simulated annealing algorithm to accept guidelines, accepted a new position as the optimal position. Test results indicate that this method can significantly improve the optimization results, and accelerate the convergence rate, improve the efficiency of inversion.