Application of improved Fuzzy C-Means clustering in automatic programming traffic intervals
Zhan Jian-ping · Computer Engineering and Applications Journal · 2009
Due to limitations of traditional traffic interval programming methods,a novel traffic interval programming method (SFLA-FCM) is proposed based on Shuffled Frog Leaping Algorithm(SFLA) and Fuzzy C Means(FCM).SFLA is a new rectaheuristic population evolutionary algorithm and it has fast calculation speed and excellent global search capability.SFLA-FCM uses SFLA to replace the iteration process of FCM based on the gradient descent and avoids the disadvantages of local optimality and initialization dependence.The experimental results show that the proposed method is more accurate and efficient than FCM and it is feasible and effective for automatic programming traffic intervals.