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Looping over optimization runs (within a model, batch executions, and multiple models/submodel) Description This example shows different possibilities of looping over a series of optimization runs using different data sets.
Source Files By clicking on a file name, a preview is opened at the bottom of this page.
Data Files batch2.mos (!******************************************************* Mosel Example Problems ====================== file batch2.mos ``````````````` Looping over program executions coupled with parameterized data in- and output. (c) 2008 Fair Isaac Corporation author: S.Heipcke, 2002, rev. 2017 *******************************************************!) model "batch 2" uses "mmxprs" parameters INFILE="batchdata0.dat" OUTFILE="batchdata1.dat" LIM=100 end-parameters declarations R=1..10 A,B: array(R) of real x: array(R) of mpvar ACtr,AnObj: linctr end-declarations initializations from INFILE A as "a" B as "b" end-initializations if(LIM>100) then forall(r in R) B(r)+=1 end-if ACtr:= sum(r in R) B(r)*x(r) <= LIM AnObj:=sum(r in R) A(r)*x(r) forall(r in R) x(r) is_binary maximise(AnObj) writeln("Objective: ", getobjval) initializations to OUTFILE B as "b" end-initializations end-model | |||||||||||||||||||
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