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Table 2 No. of fitness evalution comparisons of PSO, DE, TLBO, OTLBO

From: A teaching learning based optimization based on orthogonal design for solving global optimization problems

No.

Function

 

PSO

DE

TLBO

OTLBO

f 1

Step

Mean

40,000

2.4833e+4

712

520.1023

Std

0

753.6577

30.4450

21.0012

f 2

Sphere

Mean

40,000

40,000

40,000

28712

Std

0

0

0

971.7807

f 3

SumSquares

Mean

40,000

40,000

40,000

30124

Std

0

0

0

150.0015

f 4

Quartic

Mean

40,000

40,000

40,000

40,000

Std

0

0

0

0

f 5

Zakharov

Mean

40,000

40,000

40,000

2.9125e+04

Std

0

0

0

150.1291

f 6

Schwefel 1.2

Mean

40,000

40,000

40,000

31200

Std

0

0

0

101.1902

f 7

Schwefel 2.22

Mean

40,000

40,000

40,000

40,000

Std

0

0

0

0

f 8

Schwefel 2.21

Mean

40,000

40,000

40,000

40,000

Std

0

0

0

0

f 9

Bohachevsky1

an

3200

4.1111e+03

1940

1390

Std

51.6398

117.5409

79.8308

30.2312

f 10

Bohachevsky2

Mean

3.1429e+03

4.2844e+003

2.0836e+03

1290

Std

200.5150

201.8832

140.3219

48.9012

f 11

Bohachevsky3

Mean

4945

7.7822e+03

2148

1260

Std

168.1727

140.2739

51.4009

39.1290

f 12

Booth

Mean

6420

1.2554e+004

3.4277e+03

2.4519e+03

Std

18.3935

803.3543

121.4487

150.5112

f 13

Rastrigin

Mean

40,000

40,000

4.4533e+03

2.0912e+03

Std

0

0

544.6047

77.1529

f 14

Schaffer

Mean

40,000

40,000

40,000

4.0891e+03

Std

0

0

0

149.9123

f 15

Six hump camel back

Mean

800

1.5556e+03

720

430.2398

Std

99.2278

136.7738

33.0289

23.0348

f 16

Griewank

Mean

40,000

40,000

2916

1.7655e+003

Std

0

0

145.0686

62.5381

f 17

Ackley

Mean

40,000

40,000

40,000

40,000

Std

0

0

0

0

f 18

Multimod

Mean

40,000

40,000

3488

2239

Std

0

0

30.2715

52.2319

f 19

Noncontinuous rastrigin

Mean

40,000

40,000

6.1891e+03

2.2512e+03

Std

0

0

75.6887

40.8082

f 20

Weierstrass

Mean

40,000

40,000

4.0178e+03

2.2231e+03

  

Std

0

0

110.5696

102.1123