11.1.11. rheia.OPT.genetic_algorithms.NSGA2

class rheia.OPT.genetic_algorithms.NSGA2(run_dict, space_obj, start_from_last_gen, params)

The NSGAII class includes methods to perform a deterministic and robust optimization using NSGA-II optimizer.

Parameters

  • run_dict (dict) – The dictionary with user-defined values for the characterization of the optimization.

  • space_obj (object) – The object with information on the design space and stochastic space

  • start_from_last_gen (bool) – Boolean that indicates if results exist in the considered result directory.

  • params (list) – Fixed parameters used during the model evaluation.

__init__(run_dict, space_obj, start_from_last_gen, params)

Methods

__init__(run_dict, space_obj, ...)

append_points_to_file(nests, filename)

This function is used to append the result (population or fitness) to the corresponding file.

assign_fitness_to_population(pop, fitness, ...)

Assigns the calulated fitness to the corresponding samples.

define_samples_to_eval(pop)

Defines the set of samples considered for evaluation.

eval_doe()

Evaluation of the Design Of Experiments (DoE).

evaluate_samples(samples)

Evaluation of the set of samples.

init_opt()

Initialization of the results directory and writing of the column names in the STATUS file.

nsga2_1iter(current_pop)

Run one iteration of the NSGA-II optimizer.

parse_status()

This method extracts the current generation number and the number of model evaluations performed.

read_doe(doe_dir)

Read in the design of experiment.

run_optimizer()

Run an optimization using the NSGA-II algorithm.

write_status(msg)

A message is appended to the STATUS file.