Start/stopping Mosel from Excel and capturing output
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| Type: | Embedding |
| Rating: | 3 (intermediate) |
| Description: | Not compatible with version of Mosel < 1.4.0. This example demonstrates the following
The I/O driver functionality is used with XPRMsetdefstream to redirect the Mosel output streams to a VB callback function. Inside this callback function we do 3 tasks.
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| File(s): | Model |
| Data file(s): | Input data, Spreadsheet |
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| Model |
(!*******************************************************
Mosel Example Problems
======================
file s8els.mos
``````````````
Economic lot sizing, ELS, problem
(Cut generation algorithm adding (l,S)-inequalities
in one or several rounds at the root node or in
tree nodes)
(c) 2008 Fair Isaac Corporation
author: S. Heipcke, June 2003, rev. Jan. 2014
*******************************************************!)
model "S-8 ELS"
uses "mmxprs"
parameters
ALG = 0 ! Default algorithm: no user cuts
CUTDEPTH = 10 ! Maximum tree depth for cut generation
EPS = 1e-6 ! Zero tolerance
FULLPATH = ''
end-parameters
forward public function cb_node:boolean
forward procedure tree_cut_gen
declarations
TIMES = 1..20 ! Range of time
PRODUCTS = 1..4 ! Set of products
DEMAND: array(PRODUCTS,TIMES) of integer ! Demand per period
SETUPCOST: array(TIMES) of integer ! Setup cost per period
PRODCOST: array(PRODUCTS,TIMES) of real ! Production cost per period
CAP: array(TIMES) of integer ! Production capacity per period
D: array(PRODUCTS,TIMES,TIMES) of integer ! Total demand in periods t1 - t2
produce: array(PRODUCTS,TIMES) of mpvar ! Production in period t
setup: array(PRODUCTS,TIMES) of mpvar ! Setup in period t
solprod: array(PRODUCTS,TIMES) of real ! Sol. values for var.s produce
solsetup: array(PRODUCTS,TIMES) of real ! Sol. values for var.s setup
starttime: real
end-declarations
initializations from FULLPATH + "s8els.dat"
DEMAND SETUPCOST PRODCOST CAP
end-initializations
forall(p in PRODUCTS,s,t in TIMES) D(p,s,t):= sum(k in s..t) DEMAND(p,k)
! Objective: minimize total cost
MinCost:= sum(t in TIMES) (SETUPCOST(t) * sum(p in PRODUCTS) setup(p,t) +
sum(p in PRODUCTS) PRODCOST(p,t) * produce(p,t) )
! Satisfy the total demand
forall(p in PRODUCTS,t in TIMES)
sum(s in 1..t) produce(p,s) >= sum (s in 1..t) DEMAND(p,s)
! If there is production during t then there is a setup in t
forall(p in PRODUCTS, t in TIMES)
produce(p,t) <= D(p,t,getlast(TIMES)) * setup(p,t)
! Capacity limits
forall(t in TIMES) sum(p in PRODUCTS) produce(p,t) <= CAP(t)
! Variables setup are 0/1
forall(p in PRODUCTS, t in TIMES) setup(p,t) is_binary
! Uncomment to get detailed MIP output
setparam("XPRS_VERBOSE", true)
writeln("**************ALG=",ALG,"***************")
case ALG of
1: setparam("XPRS_CUTSTRATEGY", 0) ! No cuts
2: setparam("XPRS_PRESOLVE", 0) ! No presolve
3: tree_cut_gen ! User branch-and-cut + automatic cuts
4: do ! User branch-and-cut (several rounds),
tree_cut_gen ! no automatic cuts
setparam("XPRS_CUTSTRATEGY", 0)
SEVERALROUNDS:=true
end-do
5: do ! User cut-and-branch (several rounds)
tree_cut_gen ! + automatic cuts
SEVERALROUNDS:=true
TOPONLY:=true
end-do
6: do ! User branch-and-cut (several rounds)
tree_cut_gen ! + automatic cuts
SEVERALROUNDS:=true
end-do
end-case
setparam("xprs_threads",1) ! Disable parallel to prevent Excel freezing up when processing optimizer log lines
setparam("XPRS_MIPLOG",-20)
minimize(MinCost) ! Solve the problem
writeln("Time: ", 44, "sec, Nodes: ", getparam("XPRS_NODES"),
", Solution: ", getobjval)
forall(p in PRODUCTS) write(strfmt(p,-7))
forall(t in TIMES) do
write("\n ", strfmt(t,2), strfmt(getsol(sum(p in PRODUCTS) setup(p,t)),8), " ")
forall(p in PRODUCTS) write(getsol(produce(p,t)), " (",DEMAND(p,t),") ")
end-do
writeln
!*************************************************************************
! Cut generation loop:
! get the solution values
! identify and set up violated constraints
! load the modified problem and load the saved basis
!*************************************************************************
public function cb_node:boolean
declarations
ncut:integer ! Counter for cuts
cut: array(range) of linctr ! Cuts
cutid: array(range) of integer ! Cut type identification
type: array(range) of integer ! Cut constraint type
objval,ds: real
end-declarations
depth:=getparam("XPRS_NODEDEPTH")
if((TOPONLY and depth<1) or (not TOPONLY and depth<=CUTDEPTH)) then
ncut:=0
! Get the solution values
forall(t in TIMES, p in PRODUCTS) do
solprod(p,t):=getsol(produce(p,t))
solsetup(p,t):=getsol(setup(p,t))
end-do
! Search for violated constraints
forall(p in PRODUCTS,l in TIMES) do
ds:=0
forall(t in 1..l)
if(solprod(p,t) < D(p,t,l)*solsetup(p,t) + EPS) then ds += solprod(p,t)
else ds += D(p,t,l)*solsetup(p,t)
end-if
! Generate the violated inequality
if(ds < D(p,1,l) - EPS) then
cut(ncut):= sum(t in 1..l)
if(solprod(p,t)<(D(p,t,l)*solsetup(p,t))+EPS, produce(p,t),
D(p,t,l)*setup(p,t)) - D(p,1,l)
cutid(ncut):= 1
type(ncut):= CT_GEQ
ncut+=1
end-if
end-do
returned:=false ! Call this function once per node
! Add cuts to the problem
if(ncut>0) then
addcuts(cutid, type, cut);
writeln("Cuts added : ", ncut, " (depth ", depth, ", node ",
getparam("XPRS_NODES"), ", obj. ", getparam("XPRS_LPOBJVAL"), ")")
if SEVERALROUNDS then
returned:=true ! Repeat until no new cuts generated
end-if
end-if
end-if
end-function
! ****Optimizer settings for using the cut manager****
procedure tree_cut_gen
setparam("XPRS_PRESOLVE", 0) ! Switch presolve off
setparam("XPRS_EXTRAROWS", 5000) ! Reserve extra rows in matrix
setcallback(XPRS_CB_CUTMGR, "cb_node") ! Set the cut-manager callback func.
end-procedure
end-model
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