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Class Problem

pymoo/core/problem.py:34–355  ·  view source on GitHub ↗

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32
33
34class Problem:
35 def __init__(
36 self,
37 n_var=-1,
38 n_obj=1,
39 n_ieq_constr=0,
40 n_eq_constr=0,
41 xl=None,
42 xu=None,
43 vtype=None,
44 vars=None,
45 elementwise=False,
46 elementwise_func=ElementwiseEvaluationFunction,
47 elementwise_runner=LoopedElementwiseEvaluation(),
48 requires_kwargs=False,
49 replace_nan_values_by=None,
50 exclude_from_serialization=None,
51 callback=None,
52 strict=True,
53 **kwargs,
54 ):
55 """Initialize a Problem.
56
57 Args:
58 n_var: Number of variables.
59 n_obj: Number of objectives.
60 n_ieq_constr: Number of inequality constraints.
61 n_eq_constr: Number of equality constraints.
62 xl: Lower bounds for variables (float/int/array).
63 xu: Upper bounds for variables (float/int/array).
64 vtype: Variable type hint.
65 vars: Variables in explicit form.
66 elementwise: Whether to use elementwise evaluation.
67 elementwise_func: Function for elementwise evaluation.
68 elementwise_runner: Runner for elementwise evaluation.
69 requires_kwargs: Whether evaluation requires kwargs.
70 replace_nan_values_by: Value to replace NaN with.
71 exclude_from_serialization: Attributes to exclude from serialization.
72 callback: Callback function after each evaluation.
73 strict: Whether to check shapes strictly.
74 **kwargs: Additional keyword arguments.
75 """
76 # number of variable
77 self.n_var = n_var
78
79 # number of objectives
80 self.n_obj = n_obj
81
82 # number of inequality constraints
83 self.n_ieq_constr = (
84 n_ieq_constr
85 if "n_constr" not in kwargs
86 else max(n_ieq_constr, kwargs["n_constr"])
87 )
88
89 # number of equality constraints
90 self.n_eq_constr = n_eq_constr
91

Callers 6

_doMethod · 0.90
_doMethod · 0.90
__init__Method · 0.90
_doMethod · 0.90
pcx.pyFile · 0.90
ask_and_tell.pyFile · 0.90

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