Modified Shuffled Frog Leaping Algorithm based on threshold selection strategy
Liu Li · Computer Engineering and Applications Journal · 2007
Shuffled Frog Leaping Algorithm(SFLA) is a new meta-heuristic population evolutionary algorithm and it has fast calculation speed and excellent global search capability.Firstly,the paper introduces the principle of SFLA.Then,aiming at the problem of the individual large space gap between before and after update operation slowering the convergence speed because of the local update strategy,the paper raises a modified shuffled frog leaping algorithm based on the threshold selection strategy.If not satisfying the threshold constraint,the individual element does not update.The modified strategy reduces the individual space gap and improves the capability of the algorithm.Finally,the paper proves validity of the modified algorithm and rates the threshold parameter with numerical experiment.