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MacMOOP is a collection of multiobjective optimizatin testproblems from Sven Leyffer. See the MacMOOP Collection. The GAMS models were translated by Andre Savistky as is from the original AMPL source.
The raw GAMS models were converted into GAMS scalar format using the CONVERT facility. For models with multiple solves, only the first solve instance is translated.
Total number of models: 14
Original Source: My AMPL Collection of Multiobjective Optimization Testproblems (Sven Leyffer)
| Name | Type | #Eqns | #Vars | #NZ | #NNZ | Bestknown Objective | GAMS Scalar | AMPL Source | GAMS Source |
|---|---|---|---|---|---|---|---|---|---|
| abc-comp | NLP | 4 | 3 | 9 | 4 | 17.96428571 | gms | ampl | raw gams |
| ex001 | NLP | 4 | 6 | 21 | 11 | 0.55508075 | gms | ampl | raw gams |
| ex002 | NLP | 3 | 6 | 13 | 3 | 8.00000000 | gms | ampl | raw gams |
| ex003 | NLP | 3 | 3 | 7 | 5 | 7.25098758 | gms | ampl | raw gams |
| ex004 | LP | 4 | 3 | 7 | 0 | 2.00000000 | gms | ampl | raw gams |
| ex005 | NLP | 1 | 3 | 3 | 2 | -4.00000000 | gms | ampl | raw gams |
| hs05x | NLP | 4 | 6 | 13 | 5 | 0.14049587 | gms | ampl | raw gams |
| liswetm | NLP | 3 | 9 | 13 | 7 | -3.41233322 | gms | ampl | raw gams |
| molpg_1 | NLP | 9 | 9 | 51 | 0 | -26.01668874 | gms | ampl | raw gams |
| molpg_2 | NLP | 17 | 13 | 67 | 0 | -13.37500000 | gms | ampl | raw gams |
| molpg_3 | NLP | 15 | 11 | 55 | 0 | -13.40000000 | gms | ampl | raw gams |
| moqp_1 | NLP | 14 | 24 | 102 | 60 | -57.29327326 | gms | ampl | raw gams |
| moqp_2 | NLP | 13 | 24 | 102 | 60 | -13.16755651 | gms | ampl | raw gams |
| moqp_3 | NLP | 14 | 24 | 101 | 60 | -24.54193065 | gms | ampl | raw gams |