def run(self):
self.exportMPS()
mout = solver(
self.pathMPS,
addlazy=True,
funlazy=self.genLazy(),
importNeighborhoods=True,
importedNeighborhoods=self.genNeighborhoods(varCluster=True),
funTest=self.genTestFunction(),
alpha=1,
callback='vmnd',
verbose=True,
plotGapsTime=False,
writeTestLog=True)
self.resultVars = {
keyOpTSP(var.varName): var.x
for var in mout.getVars() if var.x > 0
}
return mout
def run(self,
outImportNeighborhoods=True,
outImportedNeighborhoods='function',
outFunTest=None,
outAlpha=1,
outCallback='vmnd',
outVerbose=True,
outMinBCTime=0,
outTimeLimitSeconds=7200,
writeResult=True,
outPlotGapsTimes=False,
outWriteTestLog=False):
self.exportMPS()
if outImportedNeighborhoods is 'cluster':
modelOut = solver(self.pathMPS,
verbose=outVerbose,
addlazy=False,
funlazy=None,
importNeighborhoods=outImportNeighborhoods,
importedNeighborhoods=self.genNeighborhoods(),
funTest=None,
callback=outCallback,
alpha=outAlpha,
minBCTime=outMinBCTime,
timeLimitSeconds=outTimeLimitSeconds,
plotGapsTime=outPlotGapsTimes,
writeTestLog=outWriteTestLog)
elif outImportedNeighborhoods is 'classic':
modelOut = solver(
self.pathMPS,
verbose=outVerbose,
addlazy=False,
funlazy=None,
importNeighborhoods=outImportNeighborhoods,
importedNeighborhoods=self.genNeighborhoods(classic=True),
funTest=None,
callback=outCallback,
alpha=outAlpha,
minBCTime=outMinBCTime,
timeLimitSeconds=outTimeLimitSeconds,
plotGapsTime=outPlotGapsTimes,
writeTestLog=outWriteTestLog)
else:
print(
'Cluster Neighborhoods are the only available in this model.')
if writeResult:
file = open(os.path.join(os.path.pardir, 'Results', 'results.txt'),
'a')
line = self.name
if modelOut.status == GRB.OPTIMAL or modelOut.status == GRB.TIME_LIMIT:
if outCallback == 'vmnd':
line += modelOut._line + '-{}-'.format(
outImportedNeighborhoods) + '--MIPGAP: {}--'.format(
round(modelOut.MIPGap, 3)) + '\n'
else:
line += modelOut._line + '-{}-'.format(
'-pureB&C-') + '--MIPGAP: {}--'.format(
round(modelOut.MIPGap, 3)) + '\n'
else:
line += ' Feasable solution was not found. ' + '\n'
file.write(line)
file.close()
self.outputvars = {
var.varName: var.x
for var in modelOut.getVars() if var.x > 0
}
return modelOut
def run(self,
outImportNeighborhoods=True,
outImportedNeighborhoods='function',
outFunTest=None,
outAlpha=1,
outCallback='vmnd',
outVerbose=True,
outMinBCTime=0,
outTimeLimitSeconds=7200,
writeResult=True,
outPlotGapsTimes=False,
outWriteTestLog=False):
self.exportMPS()
if outImportedNeighborhoods is 'function':
modelOut = solver(self.pathMPS,
addlazy=True,
funlazy=self.genLazy(),
importNeighborhoods=True,
importedNeighborhoods=self.genNeighborhoods(
funNbhs=True, varCluster=False),
funTest=self.genTestFunction(),
alpha=outAlpha,
callback=outCallback,
verbose=outVerbose,
minBCTime=outMinBCTime,
timeLimitSeconds=outTimeLimitSeconds,
plotGapsTime=outPlotGapsTimes,
writeTestLog=outWriteTestLog)
elif outImportedNeighborhoods is 'separated':
nbhs = self.genNeighborhoods(funNbhs=True)
nbhs.separateParameterizations()
modelOut = solver(self.pathMPS,
addlazy=True,
funlazy=self.genLazy(),
importNeighborhoods=True,
importedNeighborhoods=nbhs,
funTest=self.genTestFunction(),
alpha=1,
callback=outCallback,
verbose=outVerbose,
minBCTime=outMinBCTime,
timeLimitSeconds=outTimeLimitSeconds,
plotGapsTime=outPlotGapsTimes,
writeTestLog=outWriteTestLog)
else:
modelOut = solver(self.pathMPS,
addlazy=True,
funlazy=self.genLazy(),
importNeighborhoods=True,
importedNeighborhoods=self.genNeighborhoods(
funNbhs=False, varCluster=True),
funTest=self.genTestFunction(),
alpha=outAlpha,
callback=outCallback,
verbose=outVerbose,
minBCTime=outMinBCTime,
timeLimitSeconds=outTimeLimitSeconds,
plotGapsTime=outPlotGapsTimes,
writeTestLog=outWriteTestLog)
if writeResult:
file = open(os.path.join(os.path.pardir, 'Results', 'results.txt'),
'a')
line = self.name
if modelOut.status == GRB.OPTIMAL or modelOut.status == GRB.TIME_LIMIT:
if outCallback == 'vmnd':
line += modelOut._line + '-{}-'.format(
outImportedNeighborhoods) + '--MIPGAP: {}--'.format(
round(modelOut.MIPGap, 3)) + '\n'
else:
line += modelOut._line + '-{}-'.format(
'-pureB&C-') + '--MIPGAP: {}--'.format(
round(modelOut.MIPGap, 3)) + '\n'
else:
line += ' Feasable solution was not found. ' + '\n'
file.write(line)
file.close()
self.resultVars = {
keyOpVRP(var.varName): var.x
for var in modelOut.getVars() if var.x > 0
}
return modelOut