mdf module¶
The Multi-disciplinary Design Feasible formulation¶
-
class
gemseo.formulations.mdf.MDF(disciplines, objective_name, design_space, maximize_objective=False, main_mda_class='MDAChain', sub_mda_class='MDAJacobi', **mda_options)[source]¶ Bases:
gemseo.core.formulation.MDOFormulationThe Multidisciplinary Design Feasible formulation draws an optimization architecture where the coupling of strongly coupled disciplines is made consistent by means of a Multidisciplinary Design Analysis (MDA), the optimization problem w.r.t. local and global design variables is made at the top level. Multidisciplinary analysis is made at a each optimization iteration.
Constructor, initializes the objective functions and constraints
- Parameters
main_mda_class (str) – classname of the main MDA, typically the MDAChain, but one can force to use MDAGaussSeidel for instance
disciplines (list(MDODiscipline)) – the disciplines list.
objective_name (str) – the objective function data name.
design_space (DesignSpace) – the design space.
maximize_objective (bool) – if True, the objective function is maximized, by default, a minimization is performed.
sub_mda_class (str) – the type of MDA to be used, shall be the class name. (default MDAJacobi)
mda_options – options passed to the MDA at construction
-
classmethod
get_default_sub_options_values(**options)[source]¶ When some options of the formulation depend on higher level options, a sub option defaults may be specified here, mainly for use in the API
- Parameters
options – options dict required to deduce the sub options grammar
- Returns
None, or the sub options defaults
-
get_expected_dataflow()[source]¶ Returns the expected data exchange sequence, uUsed for xdsm representation to be overloaded by subclasses
- Returns
array of tuples (disc_from, disc_to, array of variable names)
-
get_expected_workflow()[source]¶ Returns the sequence of execution of the disciplines to be expected regarding the implementation. The returned value is an array containing disciplines, tuples of disciplines for concurrent execution. For instance : * [A, B] denotes the execution of A then the execution of B * (A, B) denotes the concurrent execution of A and B * [A, (B, C), D] denotes the execution of A then the concurrent execution of B and C then the execution of D.
- Returns
array containing disciplines or tuples of disciplines. Used for xdsm representation To be overloaded by subclasses.
-
classmethod
get_sub_options_grammar(**options)[source]¶ When some options of the formulation depend on higher level options, a sub option schema may be specified here, mainly for use in the API
- Parameters
options – options dict required to deduce the sub options grammar
- Returns
None, or the sub options grammar