Abstract: A Discrete Shuffled Frog Leaping Algorithm(DSFLA) is proposed to solve the No_ Idle permutation Flow Shop scheduling problems(NIFS).In the light of the optimization mechanism of general SFLA,the algorithm adopts an encoding scheme based on job permutation and a new method of individual production to extend the traditional model of SFLA,and employs the simple neighborhood search to present three improvement strategies.The experimental results show that the proposed algorithm and its strategies are effective and efficient in different scale benchmarks of NIFS.