Function Optimization and Parameter Performance Analysis Based on Krill Herd Algorithm.

Krill herds (KH) algorithm is a new bionic intelligent algorithm which originates from the behavior of foraging krill. The parameter initialization of the discussed KH algorithm has the important influence on the convergence speed, convergence precision and good global searching ability of the KH. The convergence speed and algorithm searching precision are determined by the foraging speed, maximum induced speed and maximum diffusion speed. The simulation experiments are carried out by using the six typical test functions to discuss this influence. The simulation results show that the convergence speed of KH algorithm is relatively sensitive to the setting of the algorithm parameters, and the proper KH parameters can flexibly improve the algorithm's convergence velocity and improve the accuracy of the searched solutions. [ABSTRACT FROM AUTHOR]