sasoptpy.Model.append_objective

Model.append_objective(self, expression, name, sense=None)

Appends a new objective to the model

Parameters

expressionExpression

The objective function as an Expression

namestring

Name of the objective value

sensestring, optional

Objective value direction, sasoptpy.MIN or sasoptpy.MAX

Returns

objectiveExpression

Objective function as an Expression object

See also

Model.set_objective()

Notes

• Default objective sense is minimization MIN.

Examples

>>> f1 = m.set_objective(2 * x + y, sense=so.MIN, name='f1')
>>> f2 = m.append_objective( (x - y) ** 2, sense=so.MIN, name='f2')
>>> print(m.to_optmodel(options={'with': 'blackbox', 'obj': (f1, f2)}))
proc optmodel;
var x;
var y;
min f1 = 2 * x + y;
min f2 = (x - y) ^ (2);
solve with blackbox obj (f1 f2);
print _var_.name _var_.lb _var_.ub _var_ _var_.rc;
print _con_.name _con_.body _con_.dual;
quit;