Table 3 The benchmark functions in this paper.

From: Multiple strategy enhanced hybrid algorithm BAGWO combining beetle antennae search and grey wolf optimizer for global optimization

Functions

Source

Dim

Range

\(\:{\varvec{f}}_{\varvec{m}\varvec{i}\varvec{n}}\)

Function type

F1

CEC 2005 F1

10/30/50/100

[−100, 100\(\:{]}^{\text{d}\text{i}\text{m}}\)

0

unimodal

F2

CEC 2005 F3

10/30/50/100

[−100, 100\(\:{]}^{\text{d}\text{i}\text{m}}\)

0

unimodal

F3

CEC 2005 F6

10/30/50/100

[−100, 100\(\:{]}^{\text{d}\text{i}\text{m}}\)

0

unimodal

F4

CEC 2017 F1

10/30/50/100

[−100, 100\(\:{]}^{\text{d}\text{i}\text{m}}\)

100

unimodal

F5

CEC 2005 F8

10/30/50/100

[−500, 500\(\:{]}^{\text{d}\text{i}\text{m}}\)

−418.98\(\:\times\:30\)

multimodal

F6

CEC 2005 F10

10/30/50/100

[−32, 32\(\:{]}^{\text{d}\text{i}\text{m}}\)

0

multimodal

F7

CEC 2005 F12

10/30/50/100

[−50, 50\(\:{]}^{\text{d}\text{i}\text{m}}\)

0

multimodal

F8

CEC 2005 F14

2

[−65.536, 65.536]

≈ 0.998

multimodal

F9

CEC 2005 F16

2

[−5, 5\(\:{]}^{\text{d}\text{i}\text{m}}\)

≈ −1.0316

multimodal

F10

CEC 2005 F19

3

[0, 1\(\:{]}^{\text{d}\text{i}\text{m}}\)

≈ −3.86

multimodal

F11

CEC 2005 F21

4

[0, 10\(\:{]}^{\text{d}\text{i}\text{m}}\)

≈ −10.1532

multimodal

F12

CEC 2005 F23

4

[0, 10\(\:{]}^{\text{d}\text{i}\text{m}}\)

≈ −10.5364

multimodal

F13

CEC 2017 F4

10/30/50/100

[−100, 100\(\:{]}^{\text{d}\text{i}\text{m}}\)

400

multimodal

F14

CEC 2017 F6

10/30/50/100

[−100, 100\(\:{]}^{\text{d}\text{i}\text{m}}\)

600

multimodal

F15

CEC 2017 F8

10/30/50/100

[−100, 100\(\:{]}^{\text{d}\text{i}\text{m}}\)

800

multimodal

F16

CEC 2017 F11

10/30/50/100

[−100, 100\(\:{]}^{\text{d}\text{i}\text{m}}\)

1100

multimodal

F17

CEC 2017 F13

10/30/50/100

[−100, 100\(\:{]}^{\text{d}\text{i}\text{m}}\)

1300

hybrid

F18

CEC 2017 F15

10/30/50/100

[−100, 100\(\:{]}^{\text{d}\text{i}\text{m}}\)

1500

hybrid

F19

CEC 2017 F17

10/30/50/100

[−100, 100\(\:{]}^{\text{d}\text{i}\text{m}}\)

1700

hybrid

F20

CEC 2017 F19

10/30/50/100

[−100, 100\(\:{]}^{\text{d}\text{i}\text{m}}\)

1900

hybrid

F21

CEC 2017 F21

10/30/50/100

[−100, 100\(\:{]}^{\text{d}\text{i}\text{m}}\)

2200

compositional

F22

CEC 2017 F25

10/30/50/100

[−100, 100\(\:{]}^{\text{d}\text{i}\text{m}}\)

2500

compositional

F23

CEC 2017 F27

10/30/50/100

[−100, 100\(\:{]}^{\text{d}\text{i}\text{m}}\)

2700

compositional

F24

CEC 2017 F29

10/30/50/100

[−100, 100\(\:{]}^{\text{d}\text{i}\text{m}}\)

2900

compositional