Modified Atom Search Optimization Based on Immunologic Mechanism and Reinforcement Learning

Table 2

The benchmark functions.

No.	Range	Type	Formulation
F1	[−100, 100]	U
F2	[−10, 10]	U
F3	[−10, 10]	U
F4	[−100, 100]	U
F5	[−1.28, 0.64]	U
F6	[−1.28, 1.28]	U
F7	[−32, 32]	M
F8	[−600, 600]	M
F9	[−5.12, 5.12]	M
F10	[−500, 500]	M
F11	[−10, 10]	M
F12	[−10, 10]	M
F13	[−100, 100]	M
F14	[−5.12, 5.12]	M
F15	[−5, 10]	M
F16	[−50, 50]	M
F17	[−50, 50]	M
F18	[−32, 32]	R
F19	[−5.12, 5.12]	R
F20	[−600, 600]	R
F21	[−500, 500]	R

U: unimodel, M: multimodel, and R: rotated.