针对目前搜索算法面向专家系统的设计所存在的不足,并依据专家系统知识表示和推理过程的特点,提出了一种基于生物地理学优化算法(BBO)的专家系统智能搜索算法,并阐述了基于BBO智能搜索算法的搜索方式更适用于专家系统设计过程的原因。本研究将番茄病害结果的可能性作为自适应函数,构建了番茄病害专家系统,并利用BBO算法搜索可能性最大的番茄病害结果。 In view of the shortcomings of the current search algorithms for expert system design and based on the characteristics of expert system knowledge representation and reasoning process, this paper proposes an expert system intelligent search algorithm based on the biogeography optimization algorithm (BBO) The search method of BBO intelligent search algorithm is more suitable for the expert system design process. In this study, the possibility of tomato disease results as an adaptive function, the tomato disease expert system was constructed, and the BBO algorithm was used to search for the tomato disease with the highest possibility of disease.