def ConstraintNotDominatedByX(self, model):
"""
Creates a constraint preventing search in dominated regions.
"""
DisjunctionOrLessMetrics = list()
for i in range(len(self.metrics_variables)):
if self.metrics_objective_direction[i] == Common.METRICS_MAXIMIZE:
DisjunctionOrLessMetrics.append(
SMTLib.SMT_GT(
self.metrics_variables[i],
SMTLib.SMT_IntConst(
Common.evalForNum(
model, self.metrics_variables[i].convert(
self.cfr.solver.converter))))
) #model[self.metrics_variables[i]])
else:
DisjunctionOrLessMetrics.append(
SMTLib.SMT_LT(
self.metrics_variables[i],
SMTLib.SMT_IntConst(
Common.evalForNum(
model, self.metrics_variables[i].convert(
self.cfr.solver.converter))))
) #model[self.metrics_variables[i]])
return SMTLib.SMT_Or(*DisjunctionOrLessMetrics)
def ConstraintMustDominatesX(self, model):
"""
Returns a constraint that a new instance has to be better than the instance represented by model in at least one dimension,
and better or equal in all the other ones.
"""
dominationDisjunction = []
i = 0
for dominatedByMetric in self.metrics_variables:
dominationConjunction = []
j = 0
if self.metrics_objective_direction[i] == Common.METRICS_MAXIMIZE:
dominationConjunction.append(
SMTLib.SMT_GT(
dominatedByMetric,
SMTLib.SMT_IntConst(
Common.evalForNum(
model,
dominatedByMetric.convert(
self.cfr.solver.converter)))))
else:
dominationConjunction.append(
SMTLib.SMT_LT(
dominatedByMetric,
SMTLib.SMT_IntConst(
Common.evalForNum(
model,
dominatedByMetric.convert(
self.cfr.solver.converter)))))
for AtLeastEqualInOtherMetric in self.metrics_variables:
if j != i:
if self.metrics_objective_direction[
j] == Common.METRICS_MAXIMIZE:
dominationConjunction.append(
SMTLib.SMT_GE(
AtLeastEqualInOtherMetric,
SMTLib.SMT_IntConst(
Common.evalForNum(
model,
AtLeastEqualInOtherMetric.convert(
self.cfr.solver.converter)))))
else:
dominationConjunction.append(
SMTLib.SMT_LE(
AtLeastEqualInOtherMetric,
SMTLib.SMT_IntConst(
Common.evalForNum(
model,
AtLeastEqualInOtherMetric.convert(
self.cfr.solver.converter)))))
j = 1 + j
i = 1 + i
dominationDisjunction.append(
SMTLib.SMT_And(*dominationConjunction))
constraintDominateX = SMTLib.SMT_Or(*dominationDisjunction)
return constraintDominateX
