Optimiser

class compas_tno.optimisers.Optimiser[source]

Bases: compas.datastructures.datastructure.Datastructure

The Optimiser sets the parameters of the optimisation.

Parameters

• x0 (array) – The starting point of the optimisation.

• xopt (array) – The value of the variables that solves thhe optimisation problem.

• fopt (float) – The value of the objective function at the end of the optimisation process.

• message (str) – The message provided by the solver.

• M (Problem) – The problem with the relevat matrices.

• time (float) – The time consumption for solving.

• niter (int) – The number of iterations.

• exitflag (int) – Whether or not the optimisation problem was solved successfully. Value ``0``represents a solved problem.

• log (str) – Log of the optimisation, available for some solves.

• Settings

• ——–

• The main settings and default values are shown below

• * ‘library’ ([‘Scipy’, ‘MATLAB’, ‘MMA’, ‘IPOPT’, ‘Scipy’, …])

• * ‘solver’ ([‘SLSQP’, ‘IPOPT’, ‘MMA’, …],)

• * ‘objective’ ([‘min’, ‘max’, ‘t’, ‘loadpath’, ‘bestfit’, …],)

• * ‘constraints’ ([‘funicular’, ‘envelope’, ‘reac_bounds’, …],)

• * ‘variables’ ([‘q’, ‘zb’, ‘xyb’, ‘t’, …],)

• * ‘features’ ([‘fixed’, ‘sym’, …],)

• * ‘find_inds’ (True,)

• * ‘exitflag’ (1,)

• * ‘printout’ (True,)

• * ‘starting_point’ (‘current’,)

• * ‘support_displacement’ (None,)

• * ‘gradient’ (True,)

• * ‘jacobian’ (True,)

• * ‘solver_options’ ({},)

• * ‘max_iter’ (500,)

• * ‘qmin’ (-1e+4,)

• * ‘qmax’ (1e-8,)

Methods

clear_optimiser	Initiate an empty Optimiser objects, or clear Previous results stored in the Optimiser object.
create_bestfit_optimiser	Create a bestfit optimiser to be sent with instructions to the Analysis.
create_compl_energy_optimiser	Create a linear complementary energy optimiser to be sent with instructions to the Analysis.
create_lp_optimiser	Create a loadpath optimisation optimiser to be sent with instructions to the Analysis.
create_max_horload_optimiser	Create a minimum thickness optimiser to be sent with instructions to the Analysis.
create_max_vertload_optimiser	Create a minimum thickness optimiser to be sent with instructions to the Analysis.
create_maxthrust_optimiser	Create a maximum thickness optimiser to be sent with instructions to the Analysis.
create_minthk_optimiser	Create a minimum thickness optimiser to be sent with instructions to the Analysis.
create_minthrust_optimiser	Create a minimum thickness optimiser to be sent with instructions to the Analysis.
create_quad_compl_energy_optimiser	Create a quadratic complementary energy optimiser to be sent with instructions to the Analysis.
set_additional_options	Set the additional options of the optimisation.
set_axis_symmetry	Set the axis of symmetry.
set_constraints	Set the constraints for the problem.
set_display_options	Set the display options of the optimisation
set_features	Set the features for the problem.
set_gradient_options	Set the display options of the optimisation
set_max_iterations	Set the features for the problem.
set_objective	Set the objective function for the problem.
set_solver	Set the features for the problem.
set_starting_point	Set the starating point of the problem.
set_variables	Set the variables for the problem.

Inherited Methods

ToString	Converts the instance to a string.
copy	Make an independent copy of the data object.
from_data	Construct an object of this type from the provided data.
from_json	Construct an object from serialized data contained in a JSON file.
from_jsonstring	Construct an object from serialized data contained in a JSON string.
sha256	Compute a hash of the data for comparison during version control using the sha256 algorithm.
to_data	Convert an object to its native data representation.
to_json	Serialize the data representation of an object to a JSON file.
to_jsonstring	Serialize the data representation of an object to a JSON string.
validate_data	Validate the object's data against its data schema.
validate_json	Validate the object's data against its json schema.