Nowadays improving the method of design in agriculture using new technologies is a common issue. Irrigation system plays an important role in productivity and some new methods are proposed in this domain. As most of the proposed models are more focused on performance criteria, their obtained design have problems in terms of practicality and feasibility. This paper presents a simulation-optimization model for designing a surface irrigation system. The main innovation of the proposed model is its special focus on the feasibility in real issues. It gives an optimal and feasible surface irrigation system by fuzzy expert systems and meta-heuristic optimization algorithms. Five fuzzy expert systems analyze the feasibility level of the obtained irrigation system using inference rules which are proposed by expert farmers, and 10 meta-heuristic optimization algorithms optimize the irrigation system based on the fuzzy expert systems outputs. Experiments were performed to evaluate the proposed model. Parameters of 14 fields with different irrigation systems were used in the experiments. The experimental results were re-evaluated by two well-known simulator software programs as SIRMOD and WinSRFR, the obtained results validate the performance of the simulation part of the model. The results of the experiments were compared with the results of three other simulation-optimization models. It was found that the designs presented by the proposed model provide more favorable results in terms of quality, practicality and labor. The designs provided by the proposed model on average reduce labor by 10%, increase practicality by 9% and improve performance by 13%.

如今，使用新技术改进农业设计方法是一个普遍的问题。灌溉系统在生产力中起着重要作用，并且在该领域提出了一些新方法。由于大多数提出的模型更侧重于性能标准，其获得的设计在实用性和可行性方面存在问题。本文提出了一种用于设计地面灌溉系统的仿真优化模型。所提出模型的主要创新在于它特别关注实际问题中的可行性。它通过模糊专家系统和元启发式优化算法给出了一个最优可行的地表灌溉系统。五个模糊专家系统使用专家农民提出的推理规则分析获得的灌溉系统的可行性水平，10 种元启发式优化算法基于模糊专家系统输出优化灌溉系统。进行了实验以评估所提出的模型。实验中使用了 14 个不同灌溉系统的田地参数。实验结果通过SIRMOD和WinSRFR这两个著名的仿真软件程序重新评估，得到的结果验证了模型仿真部分的性能。将实验结果与其他三个模拟优化模型的结果进行了比较。发现所提出的模型所呈现的设计在质量、实用性和劳动力方面提供了更有利的结果。所提出模型提供的设计平均减少了 10% 的劳动力，提高了 9% 的实用性，并提高了 13% 的性能。