提出了一种混合模拟退火算法, 以模拟退火法作为随机搜索引擎,利用逻辑编程和线性规划来检验和处理搜索结果。这种算法既可以发挥随机搜索法的快速寻找可行解的优势, 又可以充分考虑特定问题内在的逻辑和数学关系, 使之可以在较短的时间内得到一较优解实例计算结果表明, 同传统的混合整数线性规划方法相比这种算法可以快速地给出优化解, 月优化值与全局最优依差别不大, 可以更好地解决原油实际调度问题(A hybrid simulated annealing algorithm is proposed, which uses simulated annealing as a random search engine, and uses logic programming and linear programming to test and process search results. This algorithm can not only play a random fast searching for a feasible solution, but also can fully consider the logic and mathematical relationship between the specific problem inside, which can get a better solution results in a relatively short period of time, with the mixed integer linear program method compared to the traditional planning algorithm can quickly give the the optimal solution, and the global optimal value in optimization of month difference, can better solve the actual problem of crude oil)