scensol7.gms : Test GUSS Option ReportLastScen

Description

There are choices for what to report back to GAMS in case of a GUSS run:
1) Nothing (skipBaseCase=1, reportLastScen=0),
2) The Base Case (skipBaseCase=0, reportLastScen=0),
3) The last scenario solved (reportLastScen=1)
This model tests the different alternatives.

Contributor: Michael Bussieck, September 2017


Small Model of Type : GAMS


Category : GAMS Test library


Main file : scensol7.gms

$Title Test GUSS Option ReportLastScen (SCNESOL7,SEQ=737)
$onText
There are choices for what to report back to GAMS in case of a GUSS run:
1) Nothing (skipBaseCase=1, reportLastScen=0),
2) The Base Case (skipBaseCase=0, reportLastScen=0),
3) The last scenario solved (reportLastScen=1)
This model tests the different alternatives.

Contributor: Michael Bussieck, September 2017
$offText

Sets
     i   canning plants   / seattle,  san-diego           /
     j   markets          / new-york, chicago,  topeka    / ;

Parameters

     a(i)  capacity of plant i in cases
       /    seattle     350
            san-diego   600  /

     b(j)  demand at market j in cases
       /    new-york    325
            chicago     300
            topeka      275  / ;

Table d(i,j)  distance in thousands of miles
                  new-york       chicago      topeka
    seattle          2.5           1.7          1.8
    san-diego        2.5                        1.4  ;

Scalar f  freight in dollars per case per thousand miles  /90/ ;

Parameter c(i,j)  transport cost in thousands of dollars per case ;

         c(i,j) = f * d(i,j) / 1000 ;

Variables
     x(i,j)  shipment quantities in cases
     z       total transportation costs in thousands of dollars ;

Positive Variable x ;

Equations
     cost        define objective function
     supply(i)   observe supply limit at plant i
     demand(j)   satisfy demand at market j ;

cost ..        z  =e=  sum((i,j),  f * d(i,j) / 1000 *x(i,j)) ;

supply(i) ..   sum(j, x(i,j))  =l=  a(i) ;

demand(j) ..   sum(i, x(i,j))  =g=  b(j) ;

Model transport /all/ ;

set
     ScenariosToRun   scenarios        / base, run1, run2 /


Table newsupply(ScenariosToRun,i)  updater for a
             seattle    san-diego
       base    350        600
       run1    300        650
       run2    400        550   ;

Table newdemand(ScenariosToRun,j)  updater for b
            new-york   chicago  topeka
       base     325      300      275
       run1     325      300      275
       run2     350      300      250  ;

Set mattrib / system.GUSSModelAttributes /;
Parameter
    resultantx(ScenariosToRun,i,j)  collector for level of x
    srep(ScenariosToRun, mattrib)   model attibutes like modelstat etc
    o(*) GUSS options /  skipBaseCase 1 /

Set dict   / ScenariosToRun.scenario.''
             o.             opt     .srep
             a.             param   .newsupply
             b.             param   .newdemand
             x.             level   .resultantx /

Solve transport using lp minimizing z scenario dict;

Set Error(scenariostorun) Empty solution;
Error(scenariostorun) = sum((i,j),resultantx(scenariostorun,i,j)) = 0;
Abort$card(error) 'Missing solution for some scenarios', error;

* Make sure we get 'Normal completion' and 'No Solution' (skipBaseCase is 1)
abort$(transport.modelstat <> %modelStat.noSolutionReturned% or
       transport.solvestat <> %solveStat.normalCompletion%)
       'wrong status (14/1)', transport.modelstat, transport.solvestat;

* With base case:
o('skipBaseCase') = 0;
Solve transport using lp minimizing z scenario dict;

* Make sure we get 'Normal completion' and 'Optimal' (skipBaseCase is 0)
abort$(transport.modelstat <> %modelStat.optimal% or
       transport.solvestat <> %solveStat.normalCompletion%)
       'wrong status (1/1)', transport.modelstat, transport.solvestat;

abort$(abs(107.775-transport.objval)>1e-6)
      'wrong objval (107.775)', transport.objval;

* With base case but reporting the last solved scenario:
o('skipBaseCase') = 0;
o('reportLastScen') = 1;
Solve transport using lp minimizing z scenario dict;

* Make sure we get 'Normal completion' and 'Optimal' (skipBaseCase is 0)
abort$(transport.modelstat <> %modelStat.optimal% or
       transport.solvestat <> %solveStat.normalCompletion%)
       'wrong status (1/1)', transport.modelstat, transport.solvestat;

abort$(abs(110.25-transport.objval)>1e-6)
      'wrong objval (110.25)', transport.objval;


* Without base case but reporting the last solved scenario:
o('skipBaseCase') = 1;
o('reportLastScen') = 1;
Solve transport using lp minimizing z scenario dict;

* Make sure we get 'Normal completion' and 'Optimal' (skipBaseCase is 0)
abort$(transport.modelstat <> %modelStat.optimal% or
       transport.solvestat <> %solveStat.normalCompletion%)
       'wrong status (1/1)', transport.modelstat, transport.solvestat;

abort$(abs(110.25-transport.objval)>1e-6)
      'wrong objval (110.25)', transport.objval;