The performance comparison of IGKA, FGKA and HGKA based on iterations. The comparison is based on the chodata data set, the population number is set to 50 and the mutation probability is set to 0.0001. 100 iterations of three algorithms, IGKA, FGKA and HGKA, are shown in the Figure. The running time for each iteration of FGKA is almost fixed while the running time for IGKA is much higher than FGKA at the beginning and decrease very sharply at late iterations. The HGKA combines the advantage of two algorithms. The turning point in this test case is at iteration 30.