Combination generic algorithm with simulated annealing to boost global optimization and efficiency is studied , the probability to simulate the sedimentary property is also taken into account . the algorithm combine the local search ideal with the standard generic algorithm , the main character is the local searching process is introduced 研究了将遗传算法和模拟退火结合来增强算法全局寻优能力和运算效率,并用来模拟沉积属性参数的可能性,该算法是在标准遗传算法中融入局部搜索算法的思想,其特点主要体现在它引入了局部搜索的过程。