#!/usr/bin/env python
# coding: utf-8
import numpy as np
[docs]class EdaResult:
"""
Object used to encapsulate the result and information of the EDA during the execution
"""
def __init__(self,
best_ind: np.array,
best_cost: float,
n_fev: int,
history: list,
settings: dict):
"""
:param best_ind: Best result found in the execution.
:param best_cost: Cost of the best result found.
:param n_fev: Number of cost function evaluations.
:param history: Best result found in each iteration of the algorithm.
:param settings: Configuration of the parameters of the EDA.
"""
self.best_ind = best_ind
self.best_cost = best_cost
self.n_fev = n_fev
self.history = history
self.settings = settings
def __str__(self):
string = "\tNFVALS = " + str(self.n_fev) + " F = " + str(self.best_cost) + \
"\n\tX = " + str(self.best_ind) + \
"\n\tSettings: " + str(self.settings) + \
"\n\tHistory best cost per iteration: " + str(self.history)
return string