基于遗传模拟退火算法的聚类算法。将模拟退火算法与遗传算法相结合用于聚类分析，由于模拟退火算法和遗传算法可以互相取长补短，因此有效地克服了传统遗传算法的早熟现象，同时根据聚类问题的具体情况设计遗传编码方式、适应度函数，使该算法更有效、更快速地收敛到全局最优解。

-Genetic simulated annealing algorithm based on clustering algorithms. Simulated annealing algorithm and genetic algorithm are combined for cluster analysis, the simulated annealing algorithm and genetic algorithm can complement each other, thus effectively overcome the premature convergence of the traditional genetic algorithm, and clustering problem based on the specific circumstances of the design of genetic encoding , fitness function, making the algorithm more effective, more quickly converge to the global optimal solution.