Initializing help system before first use

Formulating the Model

This section offers one approach to formulating the initial real-world problem as a Mosel model. Even if you are not a Mosel expert, this model is simple enough for you to be able to glean its intent if you have some programming experience.
Note The following code fragment contains line numbers, so that they can be referenced in the subsequent commentary. Code Samples contains a listing of the same model without line numbers, should you wish to cut and paste the code into your own editor. This file is also available as foliodata.mos from https://examples.xpress.fico.com/example.pl?id=folio_5. 
01: model "Portfolio optimization with LP"
02:  uses "mmxprs"             ! Use Xpress Optimizer
03: 
04:  parameters
05:   DATAFILE= "folio.dat"    ! File with problem data
06:   OUTFILE= "result.dat"    ! Output file
07:   MAXRISK = 1/3            ! Max. investment into high-risk values
08:   MAXVAL = 0.3             ! Max. investment per share
09:   MINAM = 0.5              ! Min. investment into N.-American values
10:  end-parameters
11: 
12:  public declarations
13:   SHARES: set of string        ! Set of shares
14:   RISK: set of string          ! Set of high-risk values among shares
15:   NA: set of string            ! Set of shares issued in N.-America
16:   RET: array(SHARES) of real   ! Estimated return in investment
17:  end-declarations
18: 
19:  initializations from DATAFILE
20:   RISK RET NA
21:  end-initializations
22: 
23:  public declarations
24:   frac: array(SHARES) of mpvar ! Fraction of capital used per share
25:  end-declarations
26: 
27: ! Objective: total return
28:  Return:= sum(s in SHARES) RET(s)*frac(s) 
29: 
30: ! Limit the percentage of high-risk values
31:  sum(s in RISK) frac(s) <= MAXRISK
32: 
33: ! Minimum amount of North-American values
34:  sum(s in NA) frac(s) >= MINAM
35: 
36: ! Spend all the capital
37:  sum(s in SHARES) frac(s) = 1
38:  
39: ! Upper bounds on the investment per share
40:  forall(s in SHARES) frac(s) <= MAXVAL
41: 
42: ! Solve the problem
43:  maximize(Return)
44: 
45: ! Solution printing to a file
46:  fopen(OUTFILE, F_OUTPUT)
47:  writeln("Total return: ", getobjval)
48:  forall(s in SHARES) 
49:   writeln(strfmt(s,-12), ": \t", strfmt(getsol(frac(s))*100,5,2), "%")
50:  fclose(F_OUTPUT) 
51:  
52: end-model

Commentary

Lines 4-10 establish the model's runtime parameters. The specified default values can be changed for every model execution without any need to edit the model source.

Lines 12-17 and 23-25 contain the entity declarations.

Lines 19-21 initialize the entities with values from a data file in text format called folio.dat which as provided contains the following data: 
! 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"]
Note that this file is available as folio.dat from https://examples.xpress.fico.com/example.pl?id=folio_19—If you download the file, it contains a few more entities that are not used in this guide.

Line 28 contains an expression whose value is assigned to an entity called Return - the goal of the problem is ultimately to maximize this expression.

Lines 30-40 establish the constraints of the problem, while line 43 starts the optimization solver to maximize the value of Return.

Finally, lines 45-50 display the results of the optimization -> create a display of the results of the optimization run that is redirected into a text file called result.dat

Parent Topic Building an Xpress Insight App

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