Research Article

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

Table 9

Results of WGC method with assumption .

Setj

110.90.00010.09990.01822995000.02851820000.9532518000.00004001160.00017280690.2781801472
20.90.010.09000.1190775000.0869291700.7939933000.00012306440.00020299600.2554637815
30.90.020.08000.1429456000.2088259000.6482285000.00016144930.00022824000.2221606012
40.90.030.07000.1541387000.3171466000.5287148000.00018201350.00024922430.1923916446
50.90.040.06000.1586429000.4158383000.4255188000.00019084650.00026751990.1651696755
60.90.050.05000.1583853000.5074438000.3341710000.00019044670.00028386020.1398247201
70.90.060.04000.1539700000.5939994000.2520306000.00018188790.00029869640.1158042336
80.90.070.03000.1451617000.6774939000.1773444000.00016530180.00031235030.0925538035
90.90.080.02000.1305768000.7604943000.1089289000.00013970090.00032508060.0693392358
100.90.090.01000.1055153000.8482093000.0462753600.00010157810.00033713910.0446376634
110.90.09990.0001000.0076503780.99234960000.00002859730.00034875930.0030567605

2120.80.00010.19990.02991746000.03986435000.9302182000.00004751820.00017345080.2785384568
130.80.020.18000.1561862000.0838266700.7599871000.00019124750.00020780660.2569696656
140.80.040.16000.1857154000.2005185000.6137661000.00025594060.00023293860.2252050954
150.80.060.14000.1995920000.3008291000.4965789000.00029046450.00025341510.1968689455
160.80.080.12000.2051905000.3980247000.3967848000.00030530870.00027106510.1709097596
170.80.10.1000.2048838000.4858234000.3092928000.00030474960.00028671770.1466170559
180.80.120.08000.1994022000.5964201000.2311777000.00029060590.00030087080.1233964152
190.80.140.06000.1884268000.6510251000.1605482000.00026307690.00031387350.1003607957
200.80.160.04000.1701992000.7336242000.0961765900.00022045240.00032600540.0774637183
210.80.180.02000.1387874000.8235506000.0376619900.00015666720.00033754110.0520395650
220.80.19990.0001000.0058955600.99410440000.00002844120.00034881940.0025407208

3230.70.00010.29990.03900963000.04906378000.9119266000.00005593520.00017400570.2788237303
240.70.030.27000.1860569000.0815435900.7323995000.00025967920.00021171730.2581225432
250.70.060.24000.2201918000.1940096000.5857986000.00035013000.00023675960.2276073350
860.20.640.16000.3987768000.5772635000.0239597000.00110013410.00033109920.1247063931
870.20.720.08000.3271327000.67286730000.00074991710.00033783310.0970095572
880.20.79990.0001000.0024254520.99757450000.00002825470.00034893800.0015202436

9890.10.00010.89990.11604690000.13753340000.7464198000.00023196300.00018022830.2814244516
900.10.090.81000.4656026000.0625082800.4718892000.00148608140.00024873170.2682670259
910.10.180.72000.5366343000.1363396000.3270261000.00196622090.00027220140.2490831559
920.10.270.63000.5689201000.1982814000.2327985000.00220768800.00028794350.2325119608
930.10.360.54000.5818540000.2551058000.1630401000.00230897750.00029997280.2170186730
940.10.450.45000.5813784000.3106878000.1079338000.00230616720.00030984110.2016349282
950.10.540.36000.5691004000.3682816000.0626180700.00221177860.00031836270.1854886977
960.10.630.27000.5438377000.4317478000.0244145000.00202296690.00032605690.1674914633
970.10.720.18000.4961419000.50385810000.00168888630.00033205290.1467114932
980.10.810.09000.3988742000.60112580000.00110138200.00033537950.1181071746
990.10.89990.0001000.0022071110.99779290000.00002824840.00034894550.0014559879

Remark: all results of column are income.