pyleecan.Classes.OptiProblem module¶
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:
FrozenClass
Multi-objectives optimization problem with some constraints
- VERSION = 1¶
- save(save_path='', is_folder=False, type_handle_old=2, type_compression=0)¶
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 (json only)
type_handle_old (int) – How to handle old file in folder mode (0:Nothing, 1:Delete, 2:Move to “Backup” folder)
type_compression (int) – Available only for json, 0: no compression, 1: gzip
- 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', ignore_list=None, is_add_value=False)[source]¶
Compare two objects and return list of differences
- as_dict(type_handle_ndarray=0, keep_function=False, **kwargs)[source]¶
Convert this object in a json serializable dict (can be use in __init__). type_handle_ndarray: int
How to handle ndarray (0: tolist, 1: copy, 2: nothing)
- keep_functionbool
True to keep the function object, else return str
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]