随着更加完善而复杂的灌溉制度优化模型被提出，对模型进行优化求解的方法成为研究热点。本文提出了应用模拟退火算法求解灌溉制度优化模型，通过实例应用来探讨该算法在模型求解过程中的特点和效果。结果表明，该算法所求目标函数值可以逼近全局，适用于最优灌溉制度优化模型的求解。尽管如此，但是该算法仍存在所求目标函数值不稳定的缺陷，需经多次计算再选最优，因此模拟退火算法仍有待改进。

With further study of irrigation systems, more complete and complex optimization model of irrigation schedule have been proposed, and therefore advanced methods are required for solving the model optimization. This paper gave the steps of the simulated annealing algorithm to solve the model, and analyzed the characteristics s and effects of this algorithm in the process of solving the optimization model of irrigation schedule by case, and got the conclusions: the objective function value obtained by this algorithm was close to the global optimum. But the limitation of this algorithm was unstable objective value, which required repeatedly computing then to get the optimum. Therefore, the simulated annealing algorithm should be improved to solve the optimization model of irrigation schedule.