Mean-min-max distance objective for purely geometrical layouts problems.

Public members¶

MeMiMaDist(problem, scale=500.0, c1=1, c2=1, c3=1, name='MiMaMean')[source]

Constructor.

n_components()[source]

Returns the number of components of the function.

maximize()[source]

Returns flag for maximization of each component.

calc_individual(vars_int, vars_float, problem_results, cmpnts=None)[source]

Calculate values for a single individual of the underlying problem.

calc_population(vars_int, vars_float, problem_results, cmpnts=None)[source]

Calculate values for all individuals of a population.

classmethod new(objective_type, *args, **kwargs)[source]

Run-time objective function factory.

initialize(verbosity=0)

Initialize the object.

property component_names

The names of the components

property var_names_int

The names of the integer variables

property n_vars_int

The number of int variables

property var_names_float

The names of the float variables

property n_vars_float

The number of float variables

vardeps_int()

Gets the dependencies of all components on the function int variables

vardeps_float()

Gets the dependencies of all components on the function float variables

rename_vars_int(varmap)

Rename integer variables.

rename_vars_float(varmap)

Rename float variables.

finalize_individual(vars_int, vars_float, problem_results, ...)

Finalization, given the champion data.

finalize_population(vars_int, vars_float, problem_results, ...)

Finalization, given the final population data.

ana_deriv(vars_int, vars_float, var, components=None)

Calculates the analytic derivative, if possible.

__str__()

Get info string

property initialized

Flag for finished initialization

finalize(verbosity=0)

Finalize the object.