Code Samples - Getting Started
This section contains selected code samples relevant to the initial example model formulation and its first run in Xpress Insight.
Formulating the Model
foliodata.mos
model "Portfolio optimization with LP"
uses "mmxprs" ! Use Xpress-Optimizer
parameters
DATAFILE= "folio.dat" ! File with problem data
OUTFILE= "result.dat" ! Output file
MAXRISK = 1/3 ! Max. investment into high-risk values
MAXVAL = 0.3 ! Max. investment per share
MINAM = 0.5 ! Min. investment into N.-American values
end-parameters
declarations
SHARES: set of string ! Set of shares
RISK: set of string ! Set of high-risk values among shares
NA: set of string ! Set of shares issued in N.-America
RET: array(SHARES) of real ! Estimated return in investment
end-declarations
initializations from DATAFILE
RISK RET NA
end-initializations
declarations
frac: array(SHARES) of mpvar ! Fraction of capital used per share
end-declarations
! Objective: total return
Return:= sum(s in SHARES) RET(s)*frac(s)
! Limit the percentage of high-risk values
sum(s in RISK) frac(s) <= MAXRISK
! Minimum amount of North-American values
sum(s in NA) frac(s) >= MINAM
! Spend all the capital
sum(s in SHARES) frac(s) = 1
! Upper bounds on the investment per share
forall(s in SHARES) frac(s) <= MAXVAL
! Solve the problem
maximize(Return)
! Solution printing to a file
fopen(OUTFILE, F_OUTPUT)
writeln("Total return: ", getobjval)
forall(s in SHARES)
writeln(strfmt(s,-12), ": \t", strfmt(getsol(frac(s))*100,5,2), "%")
fclose(F_OUTPUT)
end-model
folio.dat
! Data file for ‘foliodata.mos’
RET: [("treasury") 5 ("hardware") 17 ("theater") 26 ("telecom") 12
("brewery") 8 ("highways") 9 ("cars") 7 ("bank") 6
("software") 31 ("electronics") 21 ]
RISK: ["hardware" "theater" "telecom" "software" "electronics"]
NA: ["treasury" "hardware" "theater" "telecom"]
Making the Minimum Mandatory Changes
foliodata.mos
model "Portfolio optimization with LP"
uses "mminsight" ! Mandatory for Xpress Insight
uses "mmxprs" ! Use Xpress-Optimizer
parameters
DATAFILE= "folio.dat" ! File with problem data
OUTFILE= "result.dat" ! Output file
MAXRISK = 1/3 ! Max. investment into high-risk values
MAXVAL = 0.3 ! Max. investment per share
MINAM = 0.5 ! Min. investment into N.-American values
end-parameters
declarations
SHARES: set of string ! Set of shares
RISK: set of string ! Set of high-risk values among shares
NA: set of string ! Set of shares issued in N.-America
RET: array(SHARES) of real ! Estimated return in investment
end-declarations
forward procedure datainput
case insightgetmode of
INSIGHT_MODE_LOAD: do
datainput
exit(0)
end-do
INSIGHT_MODE_RUN:
insightpopulate
else
datainput
end-case
procedure datainput
initializations from DATAFILE
RISK RET NA
end-initializations
end-procedure
declarations
frac: array(SHARES) of mpvar ! Fraction of capital used per share
end-declarations
! Objective: total return
Return:= sum(s in SHARES) RET(s)*frac(s)
! Limit the percentage of high-risk values
sum(s in RISK) frac(s) <= MAXRISK
! Minimum amount of North-American values
sum(s in NA) frac(s) >= MINAM
! Spend all the capital
sum(s in SHARES) frac(s) = 1
! Upper bounds on the investment per share
forall(s in SHARES) frac(s) <= MAXVAL
! Solve the problem
insightmaximize(Return)
! Solution printing to a file
fopen(OUTFILE, F_OUTPUT)
writeln("Total return: ", getobjval)
forall(s in SHARES)
writeln(strfmt(s,-12), ": \t", strfmt(getsol(frac(s))*100,5,2), "%")
fclose(F_OUTPUT)
end-model
