Abstract:In order to overcome the shortcomings of the algorithm of Fuzzy C-Means (FCM), namely, the extreme sensitivity to the initial data and the liability to come to local optimum points, this paper proposes a combination of the genetic algorithms and the improved fuzzy C average value methods and the use of the examination rate and the mistaken examination rate as the evaluation indices for the invasion examination algorithm performance. The simulation analysis is carried out for the invasion examination performance of three kinds of algorithms related to FCM, improved FCM and improved FCM based on the heredity. The result indicates that the method, based on the genetic improved FCM algorithm (GIFCM) enjoys higher examination rate and lower mistaken examination rate. This algorithm can find an effective application in exceptionally invasion examination.