Description
Contributor: Michael Bussieck, February 2014
Small Model of Type : GAMS
Category : GAMS Test library
Main file : scensol4.gms
$title 'Basic GUSS Test' (SCENSOL4,SEQ=642)
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Contributor: Michael Bussieck, February 2014
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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) ;
Equation e dummy n row; e.. sum((i,j), x(i,j)) =n= 3;
Model transport /all/ ;
* The DICT set has three dimensions
* 1 Model symbol
* 2 Action type
* 3 Update parameter
* DICT needs to be specified by a data statement
set dict / s.scenario . ''
o. opt .srep
d. param .ds
a. param .as
x. upper .xup
f. param .fs
cost.marginal.xcost
x. level .xx /
* Problems:
* 1 QCP will not work, nor MCP, MPECS.
set s /s1*s10/;
Parameter
ds(s,i,j) updater for d
as(s,i) updater for a
xup(s,i,j) updater for x.up
fs(s) updater for f
xcost(s) collector for marginal of cost
xx(s,i,j) collector for level of x
$eolCom //
Set ma GUSS Model Attributes / system.GUSSModelAttributes /;
Parameter
o(*) GUSS options
/ OptfileInit 0 // Read solver options for initial solve
Optfile 0 // Read solver options for successive solves
LogOption 0 // 0 - Moderate log (default)
// 1 - Minimal log
// 2 - Detailed log
SkipBaseCase 1 // Switch for solving the base case
UpdateType 0 // Scenario update mechanism:
// 0 - set everything to 0 and apply changes
// 1 - reestablish base case and apply changes
// 2 - build on top of last scenario and apply changes
/
srep(s,ma) Solution attributes / #s.(ModelStat na) /;
ds(s,i,j) = max(0,uniform(-5,2)) + eps;
as(s,i) = a(i)*(1+normal(0.05,0.1));
xup(s,i,j) = uniform(120,300);
fs(s) = uniform(80,100);
* Run GUSS
Solve transport using lp minimizing z scenario dict;
display srep;