“…An implementation of genetic algorithms was provided by employing of the Genetic algorithm solver in program package Matlab R2013a 8.1. Figure 8 shows the flowchart of the hybrid neuro-genetic optimization approach used in this paper, which includes five main steps: (1) Generating of an initial population of individuals for the autoclave temperature, (2) Fitness evaluation of each chromosome and assigning of a fitness value for each chromosome by the developed neural models (LRNN1 and LRNN2), (3) Creating a population for the next generation by the genetic operations (selection, crossover and mutation) with the probabilities based on fitness of the each chromosome, (4) Sending of the new child generation to neural models as a new input parameter, and finally (5) Calculating of the fitness developed by the neural models.…”