OptiProblem (class)

Method code available at https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Optimization/OptiProblem

class OptiProblem(simu=-1, design_var=-1, obj_func=-1, eval_func=None, constraint=-1, preprocessing=None, datakeeper_list=-1, init_dict=None, init_str=None)[source]

Bases: pyleecan.Classes._frozen.FrozenClass

Multi-objectives optimization problem with some constraints

VERSION = 1
save(save_path='', is_folder=False)

Save the object to the save_path

Parameters
  • self – A pyleecan object

  • save_path (str) – path to the folder to save the object

  • is_folder (bool) – to split the object in different files: separate simulation machine and materials

copy(**kwargs)

Return a copy of the class

get_logger()

Get the object logger or its parent’s one

Parameters

obj – A pyleecan object

Returns

logger – Pyleecan object dedicated logger

Return type

logging.Logger

compare(other, name='self')[source]

Compare two objects and return list of differences

as_dict(**kwargs)[source]

Convert this object in a json serializable dict (can be use in __init__). Optional keyword input parameter is for internal use only and may prevent json serializability.

property simu

Default simulation

Type

Simulation

property design_var

List of design variables

Type

[OptiDesignVar]

property obj_func

List of objective functions

Type

[OptiObjective]

property eval_func

Function to evaluate before computing obj function and constraints

Type

function

property constraint

List containing the constraints

Type

[OptiConstraint]

property preprocessing

Function to execute a preprocessing on the simulation right before it is run.

Type

function

property datakeeper_list

List of DataKeepers to run on every output

Type

[DataKeeper]