Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model

Table 8

Optimal values of benchmark functions.

Optimal values of objective function
Algorithms	No. of iterations	F1	F2	F3	F4	F5
PSO	1000	0.75759	0.71184	0.66278	0.66504	0.69023
MHS	1000	0.43609	0.41268	0.38888	0.32961	0.32825
SCA	1000	0.29418	0.26211	0.19526	0.26617	0.29454
MHS-SCA	1000	0.18868	0.18353	0.17603	0.17423	0.16249