Table 5 Comparative outcomes of the suggested EHEO algorithm with several algorithms on the CEC-BC-2017 test-functions.

From: A novel framework for sentiment classification employing Bi-GRU optimized by enhanced human evolutionary optimization algorithm

Function

Indicator

AEFA

HHO

WSO

BOA

EO

AEO

EHEO

F1

Avg

37.04826

14.84218

23.90913

46.05279

17.15441

3.051651

1.623781

StD

5.705204

11.98134

12.09224

11.90211

2.032478

4.094223

0

F2

Avg

2.5628

73.67448

8.912114

3.385275

49.78929

10.12851

0.994181

StD

10.5097

0

5.128743

1.005918

4.056392

0

0

F3

Avg

53.01771

239.1452

287.4915

123.4786

65.07901

332.0483

45.07481

StD

4.018397

2.484417

2.715416

2.04438

2.450311

2.090589

0.051848

F4

Avg

19.4321

46.19141

206.0713

30.58012

198.4544

223.0491

13.05917

StD

3.032458

6.328972

1.903517

2.058921

3.94169

2.8434

0.003541

F5

Avg

316.0815

74.39438

247.0921

308.0917

147.0834

212.0918

6.50579

StD

0.896534

0.738482

1.053114

5.036512

1.054652

0.601541

0.00501

F6

Avg

64.05451

471.0914

242.0819

22.91201

133.0907

465.6371

14.04213

StD

3.081614

2.502846

3.052834

7.01571

4.918624

1.034394

0.326131

F7

Avg

4147.951

3339.091

914.1146

5037.109

5036.172

1121.106

647.9701

StD

798.0915

2374.109

998.0904

4587.129

1518.028

1659.435

26.01904

F8

Avg

73.0932

213.0913

823.4841

1322.108

25.05813

511.0013

12.50014

StD

31.96712

19.0819

24.05386

214.0181

17.9101

36.10594

10.09141

F9

Avg

9.138152

52.08515

397.9021

664.0329

33.90115

61.0929

6.041607

StD

12.90513

17.81004

18.08415

6.911723

15.08389

12.81359

2.065171

F10

Avg

15.17458

1129.354

282.3476

2236.898

254.0989

1459.183

19.81984

StD

14.93857

568.2903

241.0931

1341.181

12.57963

591.341

9.01440

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