Research Article

Multiobjective Optimization of Allocated Exchange Portfolio: Model and Solution—A Case Study in Iran

Table 8

Results of WGC method with assumption .

Set

110.90.00010.09990.00687128300.00470843500.9884203000.00003453060.00017033290.2776087571
20.90.010.090.00469653600.00752794000.9877755000.00003464300.00017092600.2776281561
30.90.020.080.00249982200.01037592000.9871243000.00003492320.00017152500.2776476956
40.90.030.070.00030310800.01322391000.9864730000.00003537090.00017212410.2776672811
50.90.040.06000.0156641300.0752806200.9090553000.00003234100.00018596170.2568811641
60.90.050.05000.0127012300.98729880000.00002927900.00034858660.0045420655
70.90.060.04000.0087564360.99124360000.00002871720.00034872150.0033819825
80.90.070.03000.0048116580.99518830000.00002836540.00034885640.0022219703
90.90.080.02000.0008668450.99913320000.00002822390.00034899140.0010618182
100.90.090.01000100.00002822090.00034902100.0008069331
110.90.09990.0001000100.00002822090.00034902100.0008069331

2120.80.00010.19990.00897421400.00708793800.9839378000.00003470030.00017049760.2776791658
130.80.020.180.00405623700.01346385000.9824799000.00003527020.00017183880.2777229662
140.80.040.16000.01986936000.9801306000.00003662850.00017311080.2777791354
150.80.060.14000.02626354000.9737365000.00003838690.00017403530.2778906914
160.80.080.12000.03265772000.9673423000.00004069860.00017495980.2780022985
170.80.10.1000.0283515900.97164840000.00003357840.00034805140.0091445280
180.80.120.08000.0194758000.98052420000.00003073410.00034835490.0065343430
190.80.140.06000.0106000100.98940000000.00002895360.00034865850.0039241580
200.80.160.04000.0017242320.99827580000.00002823680.00034896200.0013139671
210.80.180.02000100.00002822090.00034902100.0008069331
220.80.19990.0001000100.00002822090.00034902100.0008069331

3230.70.00010.29990.01167802000.01014734000.9781746000.00003510990.00017070940.2777696451
240.70.030.270.00323318500.02109576000.9756711000.00003678540.00017301240.2778448457
250.70.060.24000.03206623000.9679338000.00004046140.00017487420.2779919702
860.20.640.16000.0248735700.97512640000.00003233710.00034817030.0081217336
870.20.720.08000100.00002822090.00034902100.0008069331
880.20.79990.0001000100.00002822090.00034902100.0008069331

9890.10.00010.89990.14145880000.15699660000.7015446000.00030804110.00018087560.2821127656
900.10.090.81000.38732570000.6126743000.00103721280.00022623870.2841922874
910.10.180.72000.61751620000.3824838000.00259679940.00025952030.2882097752
920.10.270.63000.84770660000.1522934000.00487492470.00029280200.2922272613
930.10.360.54001000.00677707500.00031482100.2948852202
940.10.450.45001000.00677707500.00031482100.2948852202
950.10.540.36000.6947961000.30520390000.00328565550.00032525900.2051313800
960.10.630.27000.3752678000.62473220000.00097806170.00033618680.1111650449
970.10.720.18000.0557393700.94426060000.00004906020.00034711470.0171986952
980.10.810.09000100.00002822090.00034902100.0008069331
990.10.89990.0001000100.00002822090.00034902100.0008069331

Remark: all results of column are income.