- class iwopy.benchmarks.rosenbrock.RosenbrockObjective(iwopy.wrappers.SimpleObjective)[source]
The Rosenbrock function is defined as
f(x,y) = (a-x)^2 + b(y-x^2)^2
Recommended values for the parameters are: a = 1 b = 100
Domain: x = [-inf, inf] y = [-inf, inf]
The unconstraint Rosenbrock function has a global minima at
(x,y) = (1,1)
with a function value of
f(x,y) = 0
Public members¶
-
RosenbrockObjective(problem, pars=
(1.0, 100.0)
, ...)[source] Construtor
- property has_ana_derivs
Returns analyical derivatives flag
- n_components()[source]
Returns the number of components of the function.
- calc_individual(vars_int, vars_float, problem_results, ...)[source]
Calculate values for a single individual of the underlying problem.
- calc_population(vars_int, vars_float, problem_results, ...)[source]
Calculate values for all individuals of a population.
-
ana_deriv(vars_int, vars_float, var, components=
None
)[source] Calculates the analytic derivative, if possible.
- classmethod new(objective_type, *args, **kwargs)[source]
Run-time objective function factory.
-
initialize(verbosity=
0
)[source] 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()[source]
Gets the dependencies of all components on the function int variables
- vardeps_float()[source]
Gets the dependencies of all components on the function float variables
- rename_vars_int(varmap)[source]
Rename integer variables.
- rename_vars_float(varmap)[source]
Rename float variables.
- finalize_individual(vars_int, vars_float, problem_results, ...)[source]
Finalization, given the champion data.
- finalize_population(vars_int, vars_float, problem_results, ...)[source]
Finalization, given the final population data.
- property initialized
Flag for finished initialization
-
RosenbrockObjective(problem, pars=