One of the important parts of the in-core fuel management is loading pattern optimization (LPO). The loading pattern optimization as a reasonable design of the in-core fuel management can improve both economic and safe aspects of the nuclear reactor. This work proposes the hybrid of fuzzy logic controller with harmony search algorithm (HS) for loading pattern optimization in a pressurized water reactor. The music improvisation process to find a pleasing harmony is inspiring the harmony search algorithm. In this work, the adjustment of the harmony search algorithm parameters such as the bandwidth and the pitch adjustment rate are increasing performance of the proposed algorithm which is done through a fuzzy logic controller. Hence, membership functions and fuzzy rules are designed to improve the performance of the HS algorithm and achieve optimal results. The objective of the method is finding an optimum core arrangement according to safety and economic aspects such as reduction of power peaking factor (PPF) and increase of effective multiplication factor (Keff). The proposed approach effectiveness has been tried in two cases, Michalewicz's bivariate function problem and NEACRP LWR core. The results show that by using fuzzy harmony search algorithm the value of the fitness function is improved by 15.35%. Finally, with regard to the new solutions proposed in this research it could be used as a trustworthy method for other optimization issues of engineering field.

堆芯内燃料管理的重要部分之一是装载模式优化 (LPO)。装载模式优化作为堆芯内燃料管理的合理设计可以提高核反应堆的经济性和安全性。这项工作提出了模糊逻辑控制器与和谐搜索算法 (HS) 的混合，用于压水反应堆中的加载模式优化。寻找令人愉悦的和声的音乐即兴过程启发了和声搜索算法。在这项工作中，和声搜索算法参数的调整，如带宽和音调调整率，提高了所提出算法的性能，这是通过模糊逻辑控制器完成的。因此，隶属函数和模糊规则旨在提高HS算法的性能并获得最佳结果。该方法的目标是根据安全和经济方面（例如降低功率峰值因数（PPF）和有效倍增因子（Keff）的增加。已在两种情况下尝试了所提出的方法有效性，即 Michalewicz 的二元函数问题和 NEACRP LWR 核心。结果表明，采用模糊和声搜索算法，适应度函数值提高了15.35%。最后，关于本研究中提出的新解决方案，它可以作为工程领域其他优化问题的可靠方法。