A Novel Hybrid Algorithm for Global Optimization Based on EO and SFLA

In this study, we have presented a new hybrid optimization method, called hybrid shuffled frog leaping algorithm and extremal optimization algorithm (SFLA-EO) which introduces EO to SFLA. SFLA-EO combines the merits of both SFLA and EO by drawing on the local-search strategy from EO and global-search strategy from SFLA. The results of experiments carried out with six well-known benchmark functions have shown the proposed algorithm possesses outstanding performance in convergence speed, robustness and stability, as compared to standard PSO,SFLA and EO. It is proved that the SFLA-EO algorithm is very effective and superior to solve continuous global optimization problems.