class_docstr: Object which carries out genetic search and returns top performing model
  upon completion.
code: def _generate_random_population(self, size):
      return [self.genome_handler.generate() for _ in range(size)]
  
imports: from __future__ import print_function
  import random
  import csv
  import operator
  import gc
  import os
  from datetime import datetime
  from keras.callbacks import EarlyStopping
  from keras.models import load_model
  import keras.backend
  from sklearn.metrics import log_loss
  import numpy
label_desc: Use image node_id 10 for calling the DEvol obj's underlying member method code with example usage: obj._generate_random_population(size) and returns: unknown