Abstract: An improved intelligent Component Retrieval Model based on genetic algorithm with Facet-Weight Self-learning （CRMFWS） is proposed in this paper.Genetic algorithm based facet weight self-learning algorithm can change the facet weight dynamically in order to improve retrieval accuracy，and risk minimization-based component sampling algorithm is used to solve the insufficiency of training data.The experimental results prove that this algorithm is feasible and can improve component retrieval efficiency greatly.