A Hybrid Meta-Heuristic Method Based on Firefly Algorithm and Krill Herd

Abstract

This study proposes a new firefly-inspired krill herd (FKH) optimization method based on integration of firefly and krill herd algorithms. FKH introduces an attractiveness and light intensity updating (ALIU) operator originally used in firefly algorithm into the krill herd method. This is basically done to improve local search technique and promote the diversity of the population to avoid a premature convergence. Moreover, an elitism strategy is adopted to maintain the optimal krill with the best fitness when updating the krill. The performance of the FKH method is verified using fifteen different benchmark functions. The results indicate that FKH performs more accurate and effective than the basic krill herd and other optimization algorithms.