Abstract: This paper proposes a reservoir flood dispatching mode and method based on the case-based reasoning (CBR) techniqnes with the artificial intelligence (AI).By adopting relational database to resolve the representation,organization,index and storage of the flood dispatching cases,a database related to reservoir flood dispatching case is built.Based on the combination of the genetic algorithm and tabu search and nearest neighbor algorithm,a hybrid approach is constructed,improring the speed and quality of the case retrieval.The strategy of the case modification and study is presented by using the genetic algorithm to optimize case characteristics weight and adopting the multi-objective decision method to optimally select the case.Finally,the reservoir flood dispatching system based on CBR is developed.The research shows that for the reservoir flood dispatching the case-based reasoning method provides a new thought and method to simplify the knowledge acquisition,improve the efficiency and quality of dispatching,accumulate and reuse the knowledge concerned.