本文首次将GASAPF (基于遗传算法的模拟退火罚函数方法 )应用于求解条件复杂的、大面积的徐州市裂隙岩溶水资源管理模型 .徐州市是以裂隙岩溶水作为主要供水水源的工业城市 ,针对徐州市地下水长期无节制开采和管理不善而引起的多种环境地质问题 ,建立了研究区裂隙岩溶水资源的管理模型 ,并运用GASAPF方法求解 ,为今后合理开采研究区裂隙岩溶地下水资源提供了科学依据 .同时通过分析优化结果的合理性 ,进一步证明GASAPF方法适用于条件复杂的大面积地下水资源的优化管理 ,完善和验证了GASAPF方法的实用性 .最后 ,根据本次研究经验指出了GASAPF方法求解复杂系统管理模型时需要注意的问题 In this paper, for the first time, GASAPF (Genetic Algorithm-based Simulated Annealing Penalty Function Method) is applied to solve complex and large-scale Xuzhou fractured karst water resources management model. Xuzhou is an industrial city with fractured karst water as the main water supply source, This paper establishes a management model of fractured karst water resources in the study area and applies GASAPF method to solve it, which provides a scientific basis for the rational exploitation of fractured karst groundwater resources in the study area in the future Based on the analysis of the rationality of the optimization results, it is further proved that the GASAPF method is suitable for the optimal management of large-scale groundwater resources with complex conditions and the practicality of the GASAPF method is improved and verified.Finally, according to the research experience, the GASAPF method Complex system management model needs attention