Abstract: In order to solve the problem of resources search in dynamic grid environment，this paper proposes a search algorithm for grid resources based on feature weighted fuzzy K-prototypes algorithm.The algorithm partitions mixed grid resource node sets that include numerical and categorical resources based on different weight of resource request and feature weighted fuzzy K-prototypes algorithm.Then，according to static numerical feature and categorical feature of resources，the algorithm fixes the most similar resource cluster with feature eigenvalue of resource request.Finally，the algorithm selects optimal resource node through dynamic numerical feature of resources.Results of simulation experiment show that the method can not only improve precision and robustness but also reduce mean response time of resources search compared with other methods.