class documentation

evaluate and store f- and g-values of a population in attributes F and G.

If the g-function (constraints) has an insert method, x-values are "inserted" first.

If the constraints function has a true_g attribute (assigned during the call) and offset_from_true_g is True, population constraints values are corrected by an offset to guaranty that g >= 0 if true_g > 0. Named solutions are not offset.

Method __call__ kwargs are named solutions resulting in
Method __init__ Undocumented
Instance Variable constraints Undocumented
Instance Variable F Undocumented
Instance Variable G_all Undocumented
Instance Variable insert Undocumented
Instance Variable objective Undocumented
Instance Variable offset_from_true_g Undocumented
Instance Variable X Undocumented
Property feasibility_ratios or bias for equality constraints
def __call__(self, X, **kwargs):

kwargs are named solutions resulting in

    self.name['x'] = kwargs[name]
    self.name['f'] = self.objective(kwargs[name])
    self.name['g'] = self.constraints(kwargs[name])

Store result in attributes `F` and `G`.
def __init__(self, objective, constraints, insert=True, offset_from_true_g=False):

Undocumented

constraints =

Undocumented

F =

Undocumented

G_all =

Undocumented

insert =

Undocumented

objective =

Undocumented

offset_from_true_g =

Undocumented

X =

Undocumented

@property
feasibility_ratios =

or bias for equality constraints