Files
ortools-clone/examples/python/blending.py

152 lines
3.6 KiB
Python

# Copyright 2011 Hakan Kjellerstrand hakank@bonetmail.com
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Blending problem in Google or-tools.
From the OPL model blending.mod.
This model was created by Hakan Kjellerstrand (hakank@bonetmail.com)
Also see my other Google CP Solver models: http://www.hakank.org/google_or_tools/
"""
import sys
from ortools.linear_solver import pywraplp
def main(sol = 'GLPK'):
# Create the solver.
print 'Solver: ', sol
# using GLPK
if sol == 'GLPK':
solver = pywraplp.Solver('CoinsGridGLPK',
pywraplp.Solver.GLPK_MIXED_INTEGER_PROGRAMMING)
else:
# Using CLP
solver = pywraplp.Solver('CoinsGridCLP',
pywraplp.Solver.CBC_MIXED_INTEGER_PROGRAMMING)
#
# data
#
NbMetals = 3
NbRaw = 2
NbScrap = 2
NbIngo = 1
Metals = range(NbMetals)
Raws = range(NbRaw)
Scraps = range(NbScrap)
Ingos = range(NbIngo)
CostMetal = [22, 10, 13]
CostRaw = [6, 5]
CostScrap = [ 7, 8]
CostIngo = [9 ]
Low = [0.05, 0.30, 0.60]
Up = [0.10, 0.40, 0.80]
PercRaw = [ [ 0.20, 0.01 ], [ 0.05, 0 ], [ 0.05, 0.30 ] ]
PercScrap = [ [ 0 , 0.01 ], [ 0.60, 0 ], [ 0.40, 0.70 ] ]
PercIngo = [ [ 0.10 ], [ 0.45 ], [ 0.45 ] ]
Alloy = 71
#
# variables
#
p = [solver.NumVar(0, solver.Infinity(), 'p[%i]' % i) for i in Metals]
r = [solver.NumVar(0, solver.Infinity(), 'r[%i]' % i) for i in Raws]
s = [solver.NumVar(0, solver.Infinity(), 's[%i]' % i) for i in Scraps]
ii = [solver.IntVar(0, solver.Infinity(), 'ii[%i]' % i) for i in Ingos]
metal = [solver.NumVar(Low[j]*Alloy, Up[j]*Alloy, 'metal[%i]' % j)
for j in Metals]
z = solver.NumVar(0, solver.Infinity(), 'z')
#
# constraints
#
solver.Add(z ==
solver.Sum([CostMetal[i] * p[i] for i in Metals]) +
solver.Sum([CostRaw[i] * r[i] for i in Raws]) +
solver.Sum([CostScrap[i] * s[i] for i in Scraps]) +
solver.Sum([CostIngo[i] * ii[i] for i in Ingos]))
for j in Metals:
solver.Add(
metal[j] == p[j] +
solver.Sum([PercRaw[j][k] * r[k] for k in Raws]) +
solver.Sum([PercScrap[j][k] * s[k] for k in Scraps]) +
solver.Sum([PercIngo[j][k] * ii[k] for k in Ingos]))
solver.Add(solver.Sum(metal) == Alloy)
objective = solver.Minimize(z)
#
# solution and search
#
solver.Solve()
print
print 'z = ', solver.ObjectiveValue()
print 'Metals'
for i in Metals:
print p[i].SolutionValue(),
print
print 'Raws'
for i in Raws:
print r[i].SolutionValue(),
print
print 'Scraps'
for i in Scraps:
print s[i].SolutionValue(),
print
print 'Ingos'
for i in Ingos:
print ii[i].SolutionValue(),
print
print 'Metals'
for i in Metals:
print metal[i].SolutionValue(),
print
print
print 'walltime :', solver.WallTime(), 'ms'
if sol == 'CBC':
print 'iterations:', solver.Iterations()
if __name__ == '__main__':
sol = 'GLPK'
if len(sys.argv) > 1:
sol = sys.argv[1]
if sol != 'GLPK' and sol != 'CBC':
print 'Solver must be either GLPK or CBC'
sys.exit(1)
main(sol)