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Table 6 Average number of nondominated solutions in the approximated Pareto front (Mean) with the corresponding standard deviation (Std) for each algorithm

From: Portfolio optimization by improved NSGA-II and SPEA 2 based on different risk measures

Problem

Dataset

NSGA-IIb

NSGA-IIa

SPEA 2b

SPEA 2a

  

Mean

std

Mean

Std

Mean

Std

Mean

Std

Mean-SV

DowJones

52.10

5.75

248.06

4.93

55.65

6.12

250

0

 

FF49Industries

16.65

4.61

250

0

15.20

3.68

250

0

 

NASDAQ100

14.25

2.90

250

0

13.40

2.89

250

0

 

SP500

11.55

3.22

250

0

11.50

3.32

250

0

 

NASDAQComp

13.60

2.93

202.50

20.97

13.60

2.93

245.20

9.29

Mean-CVaR

DowJones

49.70

6.24

247.33

4.86

51.15

6.66

250

0

 

FF49Industries

16.10

3.80

249.95

0.22

17.25

3.19

250

0

 

NASDAQ100

16.45

3.27

250

0

16.80

3.86

250

0

 

SP500

12.60

2.84

250

0

12.45

2.68

250

0

 

NASDAQComp

15.80

3.43

238.60

13.18

16.10

3.91

249.05

2.21

Mean-CVaR-SV

DowJones

92.90

14.62

246.33

7.57

91.75

11.96

250

0

 

FF49Industries

22.25

7.04

250

0

21.25

6.70

250

0

 

NASDAQ100

22.45

5.82

250

0

22.50

3.90

250

0

 

SP500

18.20

6.18

250

0

18.85

7.51

250

0

 

NASDAQComp

25.65

6.03

250

0

25.65

5.59

250

0