分析了遗传算法及退火算法的优缺点，提出用退火算法改进遗传算法局部的最优值搜索效率低问题。退火算法与遗传算法融合后，使算法在寻优结果上更加迅速精确。通过水泥的配比工程实例，与单纯的遗传算法的结果进行对比，说明该方法是有效的。

A method that uses annealing algorithm to improve the inefficient local search of genetic algorithm is proposed. That method bases on analysis of the advantages and disadvantages of the annealing and the genetic algorithm. The algorithm optimization is more rapidly in precision after annealing algorithm integration with the genetic algorithm. By examples of cement ratio works, compared with results of the simple algorithm, it is effectively.