Description
This test checks the expected behavior of libInclude tool moo for multi-objective optimization. Contributor: Aileen Böhme, January 2024
Small Model of Type : GAMS
Category : GAMS Test library
Main file : moo1.gms
$title 'Test libInclude tool moo' (MOO1, SEQ=949)
$ontext
This test checks the expected behavior of libInclude tool moo for multi-objective optimization.
Contributor: Aileen Böhme, January 2024
$offtext
$log --- Using Python library %sysEnv.GMSPYTHONLIB%
* SET UP TEST MODELS:
* EPSCM model from model library
$onEchoV > epscm.gms
$inlineCom [ ]
Set
p 'power generation units' / Lignite, Oil, Gas, RES /
i 'load areas' / base, middle, peak /
pi(p,i) 'availability of unit for load types' / Lignite.(base,middle)
Oil.(middle,peak), Gas.set.i
RES.(base, peak) /
es(p) 'endogenous sources' / Lignite, RES /
k 'objective functions' / cost, CO2emission, endogenous /
points 'pareto points' / point1*point10000 /;
$set min -1
$set max +1
Parameter dir(k) 'direction of the objective functions'
/ cost %min%, CO2emission %min%, endogenous %max% /
pareto_obj(points,k);
Set pheader / capacity, cost, CO2emission /;
Table pdata(pheader,p)
Lignite Oil Gas RES
capacity [GWh] 31000 15000 22000 10000
cost [$/MWh] 30 75 60 90
CO2emission [t/MWh] 1.44 0.72 0.45 0;
Parameter
ad 'annual demand in GWh' / 64000 /
df(i) 'demand fraction for load type' / base 0.6, middle 0.3, peak 0.1 /
demand(i) 'demand for load type in GWh';
demand(i) = ad*df(i);
Variable
z(k) 'objective function variables';
Positive Variable
x(p,i) 'production level of unit in load area in GWh';
Equation
objcost 'objective for minimizing cost in K$'
objco2 'objective for minimizing CO2 emissions in Kt'
objes 'objective for maximizing endogenous sources in GWh'
defcap(p) 'capacity constraint'
defdem(i) 'demand satisfaction';
* Objective functions
objcost.. sum(pi(p,i), pdata('cost',p)*x(pi)) =e= z('cost');
objco2.. sum(pi(p,i), pdata('CO2emission',p)*x(pi)) =e= z('CO2emission');
objes.. sum(pi(es,i), x(pi)) =e= z('endogenous');
defcap(p).. sum(pi(p,i), x(pi)) =l= pdata('capacity',p);
defdem(i).. sum(pi(p,i), x(pi)) =g= demand(i);
Model example / all /;
$libinclude moo %method% example LP k dir z points pareto_obj -gridpoints=11 -iterations=%iterations%
pareto_obj(points,k) = round(pareto_obj(points,k),6)
execute_unload 'moo', pareto_obj;
$offEcho
* EPSCMMIP model from model library
$onEchoV > epscmmip.gms
Set
I 'constraints' / i1* i2 /
J 'decision variables' / j1*j50 /
K 'objective functions' / k1* k2 /
points 'pareto points' / point1*point1000 /;
Parameter
dir(k) 'direction of the objective functions 1 for max and -1 for min' / k1 1, k2 1 /
b(I) 'RHS of the constraints' / i1 1445, i2 1502.5 /
pareto_obj(points,k);
Table c(K,J) 'matrix of objective function coefficients C'
j1 j2 j3 j4 j5 j6 j7 j8 j9 j10 j11 j12 j13 j14 j15 j16 j17
k1 21 69 26 92 77 30 96 80 60 61 52 92 19 10 63 34 100
k2 24 92 53 25 10 31 83 34 64 69 95 40 59 87 13 94 53
+ j18 j19 j20 j21 j22 j23 j24 j25 j26 j27 j28 j29 j30 j31 j32 j33 j34
k1 60 11 12 37 100 74 17 60 69 49 69 49 59 17 21 74 85
k2 52 61 53 78 34 89 32 28 56 52 40 41 59 35 96 72 55
+ j35 j36 j37 j38 j39 j40 j41 j42 j43 j44 j45 j46 j47 j48 j49 j50
k1 83 41 29 63 56 38 66 92 25 84 89 21 46 94 96 92
k2 100 44 90 66 59 22 72 25 36 16 56 91 61 56 66 53 ;
Table a(I,J) 'matrix of technological coefficients A'
j1 j2 j3 j4 j5 j6 j7 j8 j9 j10 j11 j12 j13 j14 j15 j16 j17
i1 84 49 68 20 97 74 60 30 13 95 19 41 17 95 73 12 66
i2 19 96 93 64 72 91 32 96 44 76 69 82 51 38 52 22 83
+ j18 j19 j20 j21 j22 j23 j24 j25 j26 j27 j28 j29 j30 j31 j32 j33 j34
i1 55 75 20 56 80 59 66 25 70 95 96 62 74 31 59 21 85
i2 27 70 56 29 89 86 48 13 95 66 94 16 44 67 90 48 29
+ j35 j36 j37 j38 j39 j40 j41 j42 j43 j44 j45 j46 j47 j48 j49 j50
i1 45 97 23 53 51 95 58 68 62 45 83 82 47 15 52 72
i2 90 54 77 28 100 86 51 62 40 54 21 55 50 62 51 77 ;
Variable
Z(K) 'objective function variables'
X(J) 'decision variables';
Binary Variable X;
Equation
objfun(K) 'objective functions'
con(I) 'constraints';
objfun(K).. sum(J, c(K,J)*X(J)) =e= Z(K);
con(I).. sum(J, a(I,J)*X(J)) =l= b(I);
Model example / all /;
$libinclude moo %method% example MIP k dir z points pareto_obj -gridpoints=492 -iterations=%iterations%
pareto_obj(points,k) = round(pareto_obj(points,k),6)
execute_unload 'moo', pareto_obj;
$offEcho
* moo01 model from data library
$call.checkErrorLevel datalib moo01 > %system.NullFile%
$onEcho >> moo01.gms
pareto_obj(p,k) = round(pareto_obj(p,k),6)
execute_unload 'moo', pareto_obj;
$offEcho
* moo02 model from data library
$call.checkErrorLevel datalib moo02 > %system.NullFile%
$onEcho >> moo02.gms
pareto_obj(points,k) = round(pareto_obj(points,k),6)
execute_unload 'moo', pareto_obj;
$offEcho
* modified moo02 model
* checks that zero objective values are handled correctly: CO2 emissions for sources modified to allow zero total CO2 emissions
* checks that skipping objectives works in case of min=max: With --CO2=0 we get min=max for objective CO2emissions
* checks that for a single objective a single pareto point is returned
$onEchoV > moo02_zero_obj.gms
$inlineCom [ ]
$if not set NBOBJ $set NBOBJ 2
$if not set METHOD $set METHOD Sandwiching
$if not set CO2 $set CO2 1
Set
p 'power generation units' / Lignite, Oil, Gas, RES /
i 'load areas' / base, middle, peak /
pi(p,i) 'availability of unit for load types' / Lignite.(base,middle)
Oil.(middle,peak), Gas.set.i
RES.(base, peak) /
es(p) 'endogenous sources' / Lignite, RES /
k 'objective functions' / cost, CO2emission, endogenous /
points 'pareto points' / point1*point1000 /;
$set min -1
$set max +1
Parameter dir(k) 'direction of the objective functions 1 for max and -1 for min'
/ cost %min%, CO2emission %min%, endogenous %max% /
pareto_obj(points,k) 'objective values of the pareto points';
Set pheader / capacity, cost, CO2emission /;
Table pdata(pheader,p)
Lignite Oil Gas RES
capacity [GWh] 61000 25000 42000 20000
cost [$/MWh] 30 75 60 90
CO2emission [t/MWh] %CO2% 0 0 0;
Parameter
ad 'annual demand in GWh' / 64000 /
df(i) 'demand fraction for load type' / base 0.6, middle 0.3, peak 0.1 /
demand(i) 'demand for load type in GWh';
demand(i) = ad*df(i);
Variable
z(k) 'objective function variables';
Positive Variable
x(p,i) 'production level of unit in load area in GWh';
Equation
objcost 'objective for minimizing cost in K$'
objco2 'objective for minimizing CO2 emissions in Kt'
objes 'objective for maximizing endogenous sources in GWh'
defcap(p) 'capacity constraint'
defdem(i) 'demand satisfaction';
objcost.. sum(pi(p,i), pdata('cost',p)*x(pi)) =e= z('cost');
objco2.. sum(pi(p,i), pdata('CO2emission',p)*x(pi)) =e= z('CO2emission');
objes.. sum(pi(es,i), x(pi)) =e= z('endogenous');
defcap(p).. sum(pi(p,i), x(pi)) =l= pdata('capacity',p);
defdem(i).. sum(pi(p,i), x(pi)) =g= demand(i);
Model example / all /;
Set kk(k) 'active objective functions';
kk(k) = yes;
$ifE %NBOBJ%<=2 kk('endogenous') = no;
$if %NBOBJ%==1 kk('CO2emission') = no;
$libinclude moo %METHOD% example LP kk dir z points pareto_obj -iterations=10 -gridpoints=3
pareto_obj(points,k)$(pareto_obj(points,k)<>EPS) = round(pareto_obj(points,k),6)
execute_unload 'moo', pareto_obj;
$offEcho
* test empty dynamic objective set
$onEchoV > empty_set.gms
Set i / i1, i2 / , ii(i), points / p1*p5 /;
ii(i)=no;
Parameter dir(i) / i1 -1, i2 +1 /, pareto_obj(points,i);
Variable z(i);
Equation e;
e.. sum(i,z(i)) =e= 1;
Model example / all /;
$libinclude moo EpsConstraint example LP ii dir z points pareto_obj
$offEcho
$log ###### Test Expected Errors ######
$log Test empty objective set
$call gams empty_set.gms lo=%gams.lo% > %system.nullfile%
$if not errorlevel 0 $abort 'Error expected'
$log ###### Test EPSConstraint ######
$log Test EPSCM model
$call.checkErrorLevel gams epscm.gms lo=%gams.lo% --method=EPSConstraint
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) /
'point1'.'cost' 3075000,
'point1'.'CO2emission' 62460,
'point1'.'endogenous' 31000,
'point2'.'cost' 3078000,
'point2'.'CO2emission' 62316,
'point2'.'endogenous' 31200,
'point3'.'cost' 3099000,
'point3'.'CO2emission' 61308,
'point3'.'endogenous' 32600,
'point4'.'cost' 3111000,
'point4'.'CO2emission' 60732,
'point4'.'endogenous' 33400,
'point5'.'cost' 3120000,
'point5'.'CO2emission' 60300,
'point5'.'endogenous' 34000,
'point6'.'cost' 3141000,
'point6'.'CO2emission' 59292,
'point6'.'endogenous' 35400,
'point7'.'cost' 3147000,
'point7'.'CO2emission' 59004,
'point7'.'endogenous' 35800,
'point8'.'cost' 3162000,
'point8'.'CO2emission' 58284,
'point8'.'endogenous' 36800,
'point9'.'cost' 3183000,
'point9'.'CO2emission' 57276,
'point9'.'endogenous' 38200,
'point10'.'cost' 3204000,
'point10'.'CO2emission' 56268,
'point10'.'endogenous' 39600,
'point11'.'cost' 3219000,
'point11'.'CO2emission' 55548,
'point11'.'endogenous' 40600,
'point12'.'cost' 3225000,
'point12'.'CO2emission' 55260,
'point12'.'endogenous' 41000,
'point13'.'cost' 3315000,
'point13'.'CO2emission' 53820,
'point13'.'endogenous' 39000,
'point14'.'cost' 3423000,
'point14'.'CO2emission' 52092,
'point14'.'endogenous' 36600,
'point15'.'cost' 3531000,
'point15'.'CO2emission' 50364,
'point15'.'endogenous' 34200,
'point16'.'cost' 3639000,
'point16'.'CO2emission' 48636,
'point16'.'endogenous' 31800,
'point17'.'cost' 3747000,
'point17'.'CO2emission' 46908,
'point17'.'endogenous' 29400,
'point18'.'cost' 3855000,
'point18'.'CO2emission' 45180,
'point18'.'endogenous' 27000 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test EPSCMMIP model
$call.checkErrorLevel gams epscmmip.gms lo=%gams.lo% --method=EPSConstraint
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) /
'point1'.'k1' 1547,
'point1'.'k2' 2020,
'point2'.'k1' 1636,
'point2'.'k2' 2012,
'point3'.'k1' 1639,
'point3'.'k2' 2003,
'point4'.'k1' 1711,
'point4'.'k2' 2002,
'point5'.'k1' 1742,
'point5'.'k2' 1986,
'point6'.'k1' 1755,
'point6'.'k2' 1969,
'point7'.'k1' 1783,
'point7'.'k2' 1965,
'point8'.'k1' 1814,
'point8'.'k2' 1949,
'point9'.'k1' 1822,
'point9'.'k2' 1929,
'point10'.'k1' 1826,
'point10'.'k2' 1917,
'point11'.'k1' 1830,
'point11'.'k2' 1914,
'point12'.'k1' 1862,
'point12'.'k2' 1909,
'point13'.'k1' 1893,
'point13'.'k2' 1902,
'point14'.'k1' 1931,
'point14'.'k2' 1857,
'point15'.'k1' 1956,
'point15'.'k2' 1827,
'point16'.'k1' 1973,
'point16'.'k2' 1808,
'point17'.'k1' 1975,
'point17'.'k2' 1773,
'point18'.'k1' 1982,
'point18'.'k2' 1772,
'point19'.'k1' 1987,
'point19'.'k2' 1769,
'point20'.'k1' 1993,
'point20'.'k2' 1761,
'point21'.'k1' 2003,
'point21'.'k2' 1755,
'point22'.'k1' 2009,
'point22'.'k2' 1735,
'point23'.'k1' 2015,
'point23'.'k2' 1730,
'point24'.'k1' 2028,
'point24'.'k2' 1716,
'point25'.'k1' 2029,
'point25'.'k2' 1715,
'point26'.'k1' 2038,
'point26'.'k2' 1708,
'point27'.'k1' 2059,
'point27'.'k2' 1694,
'point28'.'k1' 2062,
'point28'.'k2' 1662,
'point29'.'k1' 2070,
'point29'.'k2' 1636,
'point30'.'k1' 2075,
'point30'.'k2' 1635,
'point31'.'k1' 2079,
'point31'.'k2' 1589,
'point32'.'k1' 2087,
'point32'.'k2' 1588,
'point33'.'k1' 2089,
'point33'.'k2' 1577,
'point34'.'k1' 2090,
'point34'.'k2' 1531,
'point35'.'k1' 2103,
'point35'.'k2' 1529 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, K)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test moo01 model with 2 objectives
$call.checkErrorLevel gams moo01.gms lo=%gams.lo%
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'k1' 953,
'point1'.'k2' 1076,
'point2'.'k1' 956,
'point2'.'k2' 1062,
'point3'.'k1' 972,
'point3'.'k2' 1052,
'point4'.'k1' 1005,
'point4'.'k2' 1037,
'point5'.'k1' 1030,
'point5'.'k2' 1024,
'point6'.'k1' 1049,
'point6'.'k2' 1004,
'point7'.'k1' 1063,
'point7'.'k2' 990,
'point8'.'k1' 1088,
'point8'.'k2' 955,
'point9'.'k1' 1091,
'point9'.'k2' 946,
'point10'.'k1' 1105,
'point10'.'k2' 932,
'point11'.'k1' 1121,
'point11'.'k2' 876,
'point12'.'k1' 1130,
'point12'.'k2' 827,
'point13'.'k1' 1137,
'point13'.'k2' 783 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(p, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test moo01 model with 3 objectives
$call.checkErrorLevel gams moo01.gms lo=%gams.lo% --NBOBJ=3
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'k1' 1015,
'point1'.'k2' 1697,
'point1'.'k3' 1634,
'point2'.'k1' 1020,
'point2'.'k2' 1668,
'point2'.'k3' 1662,
'point3'.'k1' 1042,
'point3'.'k2' 1521,
'point3'.'k3' 1699,
'point4'.'k1' 1056,
'point4'.'k2' 1877,
'point4'.'k3' 1367,
'point5'.'k1' 1087,
'point5'.'k2' 1848,
'point5'.'k3' 1437,
'point6'.'k1' 1096,
'point6'.'k2' 1818,
'point6'.'k3' 1514,
'point7'.'k1' 1098,
'point7'.'k2' 1644,
'point7'.'k3' 1662,
'point8'.'k1' 1099,
'point8'.'k2' 1579,
'point8'.'k3' 1663,
'point9'.'k1' 1107,
'point9'.'k2' 1726,
'point9'.'k3' 1587,
'point10'.'k1' 1133,
'point10'.'k2' 1857,
'point10'.'k3' 1378,
'point11'.'k1' 1138,
'point11'.'k2' 1672,
'point11'.'k3' 1632,
'point12'.'k1' 1145,
'point12'.'k2' 1636,
'point12'.'k3' 1632,
'point13'.'k1' 1146,
'point13'.'k2' 1846,
'point13'.'k3' 1347,
'point14'.'k1' 1159,
'point14'.'k2' 1758,
'point14'.'k3' 1556,
'point15'.'k1' 1166,
'point15'.'k2' 1706,
'point15'.'k3' 1594,
'point16'.'k1' 1166,
'point16'.'k2' 1817,
'point16'.'k3' 1493,
'point17'.'k1' 1174,
'point17'.'k2' 1788,
'point17'.'k3' 1520,
'point18'.'k1' 1180,
'point18'.'k2' 1598,
'point18'.'k3' 1639,
'point19'.'k1' 1184,
'point19'.'k2' 1829,
'point19'.'k3' 1421,
'point20'.'k1' 1191,
'point20'.'k2' 1743,
'point20'.'k3' 1550,
'point21'.'k1' 1197,
'point21'.'k2' 1680,
'point21'.'k3' 1599,
'point22'.'k1' 1202,
'point22'.'k2' 1646,
'point22'.'k3' 1602,
'point23'.'k1' 1215,
'point23'.'k2' 1693,
'point23'.'k3' 1551,
'point24'.'k1' 1216,
'point24'.'k2' 1622,
'point24'.'k3' 1592,
'point25'.'k1' 1219,
'point25'.'k2' 1803,
'point25'.'k3' 1477,
'point26'.'k1' 1220,
'point26'.'k2' 1817,
'point26'.'k3' 1367,
'point27'.'k1' 1222,
'point27'.'k2' 1755,
'point27'.'k3' 1522,
'point28'.'k1' 1223,
'point28'.'k2' 1672,
'point28'.'k3' 1567,
'point29'.'k1' 1227,
'point29'.'k2' 1824,
'point29'.'k3' 1344,
'point30'.'k1' 1235,
'point30'.'k2' 1760,
'point30'.'k3' 1478,
'point31'.'k1' 1235,
'point31'.'k2' 1819,
'point31'.'k3' 1307,
'point32'.'k1' 1236,
'point32'.'k2' 1755,
'point32'.'k3' 1461,
'point33'.'k1' 1240,
'point33'.'k2' 1724,
'point33'.'k3' 1541,
'point34'.'k1' 1241,
'point34'.'k2' 1729,
'point34'.'k3' 1494,
'point35'.'k1' 1242,
'point35'.'k2' 1786,
'point35'.'k3' 1418,
'point36'.'k1' 1246,
'point36'.'k2' 1633,
'point36'.'k3' 1553,
'point37'.'k1' 1253,
'point37'.'k2' 1614,
'point37'.'k3' 1567,
'point38'.'k1' 1255,
'point38'.'k2' 1701,
'point38'.'k3' 1512,
'point39'.'k1' 1260,
'point39'.'k2' 1584,
'point39'.'k3' 1552,
'point40'.'k1' 1260,
'point40'.'k2' 1760,
'point40'.'k3' 1411,
'point41'.'k1' 1266,
'point41'.'k2' 1667,
'point41'.'k3' 1517,
'point42'.'k1' 1267,
'point42'.'k2' 1637,
'point42'.'k3' 1532,
'point43'.'k1' 1267,
'point43'.'k2' 1706,
'point43'.'k3' 1476,
'point44'.'k1' 1275,
'point44'.'k2' 1784,
'point44'.'k3' 1362,
'point45'.'k1' 1279,
'point45'.'k2' 1678,
'point45'.'k3' 1479,
'point46'.'k1' 1287,
'point46'.'k2' 1785,
'point46'.'k3' 1360,
'point47'.'k1' 1290,
'point47'.'k2' 1731,
'point47'.'k3' 1448,
'point48'.'k1' 1294,
'point48'.'k2' 1609,
'point48'.'k3' 1515,
'point49'.'k1' 1295,
'point49'.'k2' 1766,
'point49'.'k3' 1376,
'point50'.'k1' 1298,
'point50'.'k2' 1757,
'point50'.'k3' 1360,
'point51'.'k1' 1302,
'point51'.'k2' 1654,
'point51'.'k3' 1475,
'point52'.'k1' 1302,
'point52'.'k2' 1760,
'point52'.'k3' 1322,
'point53'.'k1' 1303,
'point53'.'k2' 1573,
'point53'.'k3' 1513,
'point54'.'k1' 1319,
'point54'.'k2' 1706,
'point54'.'k3' 1449,
'point55'.'k1' 1325,
'point55'.'k2' 1695,
'point55'.'k3' 1427,
'point56'.'k1' 1326,
'point56'.'k2' 1724,
'point56'.'k3' 1328,
'point57'.'k1' 1332,
'point57'.'k2' 1596,
'point57'.'k3' 1475,
'point58'.'k1' 1337,
'point58'.'k2' 1495,
'point58'.'k3' 1479,
'point59'.'k1' 1342,
'point59'.'k2' 1703,
'point59'.'k3' 1366,
'point60'.'k1' 1344,
'point60'.'k2' 1725,
'point60'.'k3' 1320,
'point61'.'k1' 1345,
'point61'.'k2' 1634,
'point61'.'k3' 1437,
'point62'.'k1' 1347,
'point62'.'k2' 1672,
'point62'.'k3' 1406,
'point63'.'k1' 1350,
'point63'.'k2' 1606,
'point63'.'k3' 1450,
'point64'.'k1' 1351,
'point64'.'k2' 1706,
'point64'.'k3' 1354,
'point65'.'k1' 1358,
'point65'.'k2' 1555,
'point65'.'k3' 1437,
'point66'.'k1' 1359,
'point66'.'k2' 1597,
'point66'.'k3' 1408,
'point67'.'k1' 1365,
'point67'.'k2' 1630,
'point67'.'k3' 1377,
'point68'.'k1' 1367,
'point68'.'k2' 1697,
'point68'.'k3' 1254,
'point69'.'k1' 1370,
'point69'.'k2' 1670,
'point69'.'k3' 1334,
'point70'.'k1' 1372,
'point70'.'k2' 1487,
'point70'.'k3' 1437,
'point71'.'k1' 1373,
'point71'.'k2' 1616,
'point71'.'k3' 1378,
'point72'.'k1' 1377,
'point72'.'k2' 1644,
'point72'.'k3' 1353,
'point73'.'k1' 1379,
'point73'.'k2' 1553,
'point73'.'k3' 1401,
'point74'.'k1' 1384,
'point74'.'k2' 1517,
'point74'.'k3' 1402,
'point75'.'k1' 1385,
'point75'.'k2' 1641,
'point75'.'k3' 1295,
'point76'.'k1' 1386,
'point76'.'k2' 1455,
'point76'.'k3' 1404,
'point77'.'k1' 1390,
'point77'.'k2' 1610,
'point77'.'k3' 1335,
'point78'.'k1' 1393,
'point78'.'k2' 1631,
'point78'.'k3' 1251,
'point79'.'k1' 1401,
'point79'.'k2' 1597,
'point79'.'k3' 1287,
'point80'.'k1' 1410,
'point80'.'k2' 1565,
'point80'.'k3' 1373,
'point81'.'k1' 1413,
'point81'.'k2' 1609,
'point81'.'k3' 1259,
'point82'.'k1' 1414,
'point82'.'k2' 1566,
'point82'.'k3' 1303,
'point83'.'k1' 1418,
'point83'.'k2' 1457,
'point83'.'k3' 1365,
'point84'.'k1' 1419,
'point84'.'k2' 1509,
'point84'.'k3' 1344,
'point85'.'k1' 1420,
'point85'.'k2' 1591,
'point85'.'k3' 1257,
'point86'.'k1' 1423,
'point86'.'k2' 1447,
'point86'.'k3' 1334,
'point87'.'k1' 1423,
'point87'.'k2' 1552,
'point87'.'k3' 1315,
'point88'.'k1' 1426,
'point88'.'k2' 1536,
'point88'.'k3' 1227,
'point89'.'k1' 1429,
'point89'.'k2' 1366,
'point89'.'k3' 1340,
'point90'.'k1' 1437,
'point90'.'k2' 1508,
'point90'.'k3' 1302,
'point91'.'k1' 1438,
'point91'.'k2' 1450,
'point91'.'k3' 1289,
'point92'.'k1' 1440,
'point92'.'k2' 1521,
'point92'.'k3' 1203,
'point93'.'k1' 1444,
'point93'.'k2' 1465,
'point93'.'k3' 1255,
'point94'.'k1' 1445,
'point94'.'k2' 1432,
'point94'.'k3' 1287,
'point95'.'k1' 1446,
'point95'.'k2' 1464,
'point95'.'k3' 1232,
'point96'.'k1' 1449,
'point96'.'k2' 1429,
'point96'.'k3' 1256,
'point97'.'k1' 1450,
'point97'.'k2' 1470,
'point97'.'k3' 1199,
'point98'.'k1' 1451,
'point98'.'k2' 1372,
'point98'.'k3' 1265,
'point99'.'k1' 1451,
'point99'.'k2' 1379,
'point99'.'k3' 1237,
'point100'.'k1' 1452,
'point100'.'k2' 1365,
'point100'.'k3' 1225,
'point101'.'k1' 1455,
'point101'.'k2' 1419,
'point101'.'k3' 1177,
'point102'.'k1' 1460,
'point102'.'k2' 1342,
'point102'.'k3' 1233,
'point103'.'k1' 1462,
'point103'.'k2' 1401,
'point103'.'k3' 1175,
'point104'.'k1' 1464,
'point104'.'k2' 1359,
'point104'.'k3' 1207,
'point105'.'k1' 1467,
'point105'.'k2' 1300,
'point105'.'k3' 1188,
'point106'.'k1' 1468,
'point106'.'k2' 1316,
'point106'.'k3' 1145,
'point107'.'k1' 1468,
'point107'.'k2' 1348,
'point107'.'k3' 1125,
'point108'.'k1' 1479,
'point108'.'k2' 1283,
'point108'.'k3' 987 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(p, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test moo02 model with 2 objectives
$call.checkErrorLevel gams moo02.gms lo=%gams.lo% --METHOD=EpsConstraint
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'CO2emission' 85824,
'point2'.'cost' 2608090.909091,
'point2'.'CO2emission' 69453,
'point3'.'cost' 3104181.818182,
'point3'.'CO2emission' 53082,
'point4'.'cost' 3757875,
'point4'.'CO2emission' 36711,
'point5'.'cost' 4470000,
'point5'.'CO2emission' 20340 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test moo02 model with 3 objectives
$call.checkErrorLevel gams moo02.gms lo=%gams.lo% --METHOD=EpsConstraint --NBOBJ=3
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'CO2emission' 85824,
'point1'.'endogenous' 57600,
'point2'.'cost' 2356500,
'point2'.'CO2emission' 87840,
'point2'.'endogenous' 65750,
'point3'.'cost' 2562272.727273,
'point3'.'CO2emission' 70965,
'point3'.'endogenous' 42590.909091,
'point4'.'cost' 2651250,
'point4'.'CO2emission' 70965,
'point4'.'endogenous' 50500,
'point5'.'cost' 2960625,
'point5'.'CO2emission' 70965,
'point5'.'endogenous' 65750,
'point6'.'cost' 3073636.363636,
'point6'.'CO2emission' 54090,
'point6'.'endogenous' 25545.454545,
'point7'.'cost' 3182812.5,
'point7'.'CO2emission' 54090,
'point7'.'endogenous' 35250,
'point8'.'cost' 3354375,
'point8'.'CO2emission' 54090,
'point8'.'endogenous' 50500,
'point9'.'cost' 3630000,
'point9'.'CO2emission' 87840,
'point9'.'endogenous' 81000,
'point10'.'cost' 3736875,
'point10'.'CO2emission' 37215,
'point10'.'endogenous' 22000,
'point11'.'cost' 3885937.5,
'point11'.'CO2emission' 37215,
'point11'.'endogenous' 35250,
'point12'.'cost' 4470000,
'point12'.'CO2emission' 20340,
'point12'.'endogenous' 20000 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test for 2 objectives where 1 objective has zero values
$call.checkErrorLevel gams moo02_zero_obj.gms lo=%gams.lo% --METHOD=EpsConstraint --NBOBJ=2
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'CO2emission' 57600,
'point2'.'cost' 2976000,
'point2'.'CO2emission' 28800,
'point3'.'cost' 4170000,
'point3'.'CO2emission' Eps /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test for 3 objectives where 1 objective has zero values
$call.checkErrorLevel gams moo02_zero_obj.gms lo=%gams.lo% --METHOD=EpsConstraint --NBOBJ=3
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'CO2emission' 57600,
'point1'.'endogenous' 57600,
'point2'.'cost' 2925000,
'point2'.'CO2emission' 30500,
'point2'.'endogenous' 30500,
'point3'.'cost' 3525000,
'point3'.'CO2emission' 30500,
'point3'.'endogenous' 50500,
'point4'.'cost' 3630000,
'point4'.'CO2emission' 61000,
'point4'.'endogenous' 81000,
'point5'.'cost' 4470000,
'point5'.'CO2emission' Eps,
'point5'.'endogenous' 20000 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test for 2 objectives with min=max where method will be skipped
$call.checkErrorLevel gams moo02_zero_obj.gms lo=%gams.lo% --METHOD=EpsConstraint --NBOBJ=2 --CO2=0
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'CO2emission' Eps /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test for 3 objectives where 1 objective with min=max is skipped
$call.checkErrorLevel gams moo02_zero_obj.gms lo=%gams.lo% --METHOD=EpsConstraint --NBOBJ=3 --CO2=0
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'endogenous' 57600,
'point2'.'cost' 2577000,
'point2'.'endogenous' 69300,
'point3'.'cost' 3630000,
'point3'.'endogenous' 81000 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test for 1 objective where only a single point is returned
$call.checkErrorLevel gams moo02_zero_obj.gms lo=%gams.lo% --METHOD=EpsConstraint --NBOBJ=1
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log ###### Test RandomWeighting ######
$log Test EPSCM model
$call.checkErrorLevel gams epscm.gms lo=%gams.lo% --method=RandomWeighting --iterations=50
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) /
'point1'.'cost' 3075000,
'point1'.'CO2emission' 62460,
'point1'.'endogenous' 31000,
'point2'.'cost' 3225000,
'point2'.'CO2emission' 55260,
'point2'.'endogenous' 41000,
'point3'.'cost' 3855000,
'point3'.'CO2emission' 45180,
'point3'.'endogenous' 27000 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test EPSCMMIP model
$call.checkErrorLevel gams epscmmip.gms lo=%gams.lo% --method=RandomWeighting --iterations=10
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) /
'point1'.'k1' 1547,
'point1'.'k2' 2020,
'point2'.'k1' 1636,
'point2'.'k2' 2012,
'point3'.'k1' 1711,
'point3'.'k2' 2002,
'point4'.'k1' 1814,
'point4'.'k2' 1949,
'point5'.'k1' 1893,
'point5'.'k2' 1902,
'point6'.'k1' 2059,
'point6'.'k2' 1694,
'point7'.'k1' 2103,
'point7'.'k2' 1529 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, K)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test moo02 model with 2 objectives
$call.checkErrorLevel gams moo02.gms lo=%gams.lo% --METHOD=RandomWeighting
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'CO2emission' 85824,
'point2'.'cost' 3180000,
'point2'.'CO2emission' 50580,
'point3'.'cost' 4380000,
'point3'.'CO2emission' 21780,
'point4'.'cost' 4470000,
'point4'.'CO2emission' 20340 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test moo02 model with 3 objectives
$call.checkErrorLevel gams moo02.gms lo=%gams.lo% --METHOD=RandomWeighting --NBOBJ=3
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'CO2emission' 85824,
'point1'.'endogenous' 57600,
'point2'.'cost' 2304000,
'point2'.'CO2emission' 82944,
'point2'.'endogenous' 64000,
'point3'.'cost' 2406000,
'point3'.'CO2emission' 87840,
'point3'.'endogenous' 67400,
'point4'.'cost' 3120000,
'point4'.'CO2emission' 63360,
'point4'.'endogenous' 64000,
'point5'.'cost' 3630000,
'point5'.'CO2emission' 87840,
'point5'.'endogenous' 81000,
'point6'.'cost' 4380000,
'point6'.'CO2emission' 21780,
'point6'.'endogenous' 22000,
'point7'.'cost' 4470000,
'point7'.'CO2emission' 20340,
'point7'.'endogenous' 20000 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test for 2 objectives where 1 objective has zero values
$call.checkErrorLevel gams moo02_zero_obj.gms lo=%gams.lo% --METHOD=RandomWeighting --NBOBJ=2
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'CO2emission' 57600,
'point2'.'cost' 3180000,
'point2'.'CO2emission' 22000,
'point3'.'cost' 4170000,
'point3'.'CO2emission' Eps /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test for 3 objectives where 1 objective has zero values
$call.checkErrorLevel gams moo02_zero_obj.gms lo=%gams.lo% --METHOD=RandomWeighting --NBOBJ=3
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'CO2emission' 57600,
'point1'.'endogenous' 57600,
'point2'.'cost' 2304000,
'point2'.'CO2emission' 57600,
'point2'.'endogenous' 64000,
'point3'.'cost' 2406000,
'point3'.'CO2emission' 61000,
'point3'.'endogenous' 67400,
'point4'.'cost' 3120000,
'point4'.'CO2emission' 44000,
'point4'.'endogenous' 64000,
'point5'.'cost' 3180000,
'point5'.'CO2emission' 22000,
'point5'.'endogenous' 22000,
'point6'.'cost' 3630000,
'point6'.'CO2emission' 61000,
'point6'.'endogenous' 81000,
'point7'.'cost' 4470000,
'point7'.'CO2emission' Eps,
'point7'.'endogenous' 20000 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test for 2 objectives with min=max where method will be skipped
$call.checkErrorLevel gams moo02_zero_obj.gms lo=%gams.lo% --METHOD=RandomWeighting --NBOBJ=2 --CO2=0
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'CO2emission' Eps /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test for 3 objectives where 1 objective with min=max is skipped
$call.checkErrorLevel gams moo02_zero_obj.gms lo=%gams.lo% --METHOD=RandomWeighting --NBOBJ=3 --CO2=0
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'endogenous' 57600,
'point2'.'cost' 2406000,
'point2'.'endogenous' 67400,
'point3'.'cost' 3630000,
'point3'.'endogenous' 81000 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log ###### Test Sandwiching ######
$log Test moo02 model with 2 objectives
$call.checkErrorLevel gams moo02.gms lo=%gams.lo%
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'CO2emission' 85824,
'point2'.'cost' 3180000,
'point2'.'CO2emission' 50580,
'point3'.'cost' 4470000,
'point3'.'CO2emission' 20340 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test moo02 model with 3 objectives
$call.checkErrorLevel gams moo02.gms lo=%gams.lo% --NBOBJ=3
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'CO2emission' 85824,
'point1'.'endogenous' 57600,
'point2'.'cost' 2304000,
'point2'.'CO2emission' 82944,
'point2'.'endogenous' 64000,
'point3'.'cost' 2406000,
'point3'.'CO2emission' 87840,
'point3'.'endogenous' 67400,
'point4'.'cost' 3120000,
'point4'.'CO2emission' 63360,
'point4'.'endogenous' 64000,
'point5'.'cost' 3180000,
'point5'.'CO2emission' 50580,
'point5'.'endogenous' 22000,
'point6'.'cost' 3630000,
'point6'.'CO2emission' 87840,
'point6'.'endogenous' 81000,
'point7'.'cost' 4470000,
'point7'.'CO2emission' 20340,
'point7'.'endogenous' 20000 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test pareto points lie on edge of IPS face (EPSCM model)
$call.checkErrorLevel gams epscm.gms lo=%gams.lo% --method=Sandwiching
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) /
'point1'.'cost' 3075000,
'point1'.'CO2emission' 62460,
'point1'.'endogenous' 31000,
'point2'.'cost' 3225000,
'point2'.'CO2emission' 55260,
'point2'.'endogenous' 41000,
'point3'.'cost' 3855000,
'point3'.'CO2emission' 45180,
'point3'.'endogenous' 27000 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test for 2 objectives where 1 objective has zero values
$call.checkErrorLevel gams moo02_zero_obj.gms lo=%gams.lo% --METHOD=Sandwiching --NBOBJ=2
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'CO2emission' 57600,
'point2'.'cost' 3180000,
'point2'.'CO2emission' 22000,
'point3'.'cost' 4170000,
'point3'.'CO2emission' Eps /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test for 3 objectives where 1 objective has zero values
$call.checkErrorLevel gams moo02_zero_obj.gms lo=%gams.lo% --METHOD=Sandwiching --NBOBJ=3
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'CO2emission' 57600,
'point1'.'endogenous' 57600,
'point2'.'cost' 2304000,
'point2'.'CO2emission' 57600,
'point2'.'endogenous' 64000,
'point3'.'cost' 2406000,
'point3'.'CO2emission' 61000,
'point3'.'endogenous' 67400,
'point4'.'cost' 3120000,
'point4'.'CO2emission' 44000,
'point4'.'endogenous' 64000,
'point5'.'cost' 3180000,
'point5'.'CO2emission' 22000,
'point5'.'endogenous' 22000,
'point6'.'cost' 3270000,
'point6'.'CO2emission' 20000,
'point6'.'endogenous' 20000,
'point7'.'cost' 3630000,
'point7'.'CO2emission' 61000,
'point7'.'endogenous' 81000,
'point8'.'cost' 4470000,
'point8'.'CO2emission' Eps,
'point8'.'endogenous' 20000 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test for 2 objectives with min=max where method will be skipped
$call.checkErrorLevel gams moo02_zero_obj.gms lo=%gams.lo% --METHOD=Sandwiching --NBOBJ=2 --CO2=0
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'CO2emission' Eps /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%
$log Test for 3 objectives where 1 objective with min=max is skipped
$call.checkErrorLevel gams moo02_zero_obj.gms lo=%gams.lo% --METHOD=Sandwiching --NBOBJ=3 --CO2=0
$call.checkErrorLevel gdxdump moo > moo.txt
$call.checkErrorLevel gdxdump moo.gdx domainInfo >> moo.txt
$onEcho > mooExpected.txt
$onEmpty
Parameter pareto_obj(*,*) objective values of the pareto points /
'point1'.'cost' 2112000,
'point1'.'endogenous' 57600,
'point2'.'cost' 2406000,
'point2'.'endogenous' 67400,
'point3'.'cost' 3630000,
'point3'.'endogenous' 81000 /;
$offEmpty
SyNr Type DomInf Symbol
1 Par Relaxed pareto_obj(points, k)
$offEcho
$call.checkErrorLevel diff -bw moo.txt mooExpected.txt > %system.NullFile%