pyanno4rt.optimization.solvers.configurations._configure_pyanno4rt

Internal algorithm configuration.

Overview

Function

configure_pyanno4rt(problem_instance, lower_variable_bounds, upper_variable_bounds, lower_constraint_bounds, upper_constraint_bounds, algorithm, max_iter, tolerance, callback)

Configure the pyanno4rt solver.

Functions

pyanno4rt.optimization.solvers.configurations._configure_pyanno4rt.configure_pyanno4rt(problem_instance, lower_variable_bounds, upper_variable_bounds, lower_constraint_bounds, upper_constraint_bounds, algorithm, max_iter, tolerance, callback)

Configure the pyanno4rt solver.

Supported algorithms: …

Parameters:

• problem_instance (object of class LexicographicOptimization WeightedSumOptimization) – The object representing the optimization problem.

• lower_variable_bounds (list) – Lower bounds on the decision variables.

• upper_variable_bounds (list) – Upper bounds on the decision variables.

• lower_constraint_bounds (list) – Lower bounds on the constraints.

• upper_constraint_bounds (list) – Upper bounds on the constraints.

• algorithm (str) – Label for the solution algorithm.

• max_iter (int) – Maximum number of iterations.

• tolerance (float) – Precision goal for the objective function value.

• callback (callable) – Callback function from the class Pyanno4rtSolver.

Returns:

• fun (callable) – Minimization function from the pyanno4rt library.

• arguments (dict) – Dictionary with the function arguments.