Hybrid FCM algorithm to grid resource clustering
基于混合优化模糊C均值算法的网格资源聚类*

In order to better solve the grid resources discovering problem of low efficiency and exploit the generally existing characteristic of similarity between resources in grid environment, this paper proposed a hybrid FCM algorithm based on PSO and the trigger of GA to maximize the clustering of grid resources. By setting the trigger condition, avoided the potential local iteration, and simplified a certain extent, the complexity of the algorithm. Simulation results indicate that, the method improves the running speed and accuracy of clustering, and can be well applied to the grid resource clustering, thereby the preliminary work of grid resource scheduling will be optimized.