*4.2. Parameter Configuration*

To perform a fair comparison between the two evolutionary algorithms, the parameters were set to the values established in the original publications. The influence of GGA+ parameters was adjusted by means of a sensitivity analysis method based on executing the algorithms with different number of individuals and probabilities of using evolutionary search operators [44]. Statistical results obtained from these independent runs were considered to select the following parameters: the population size was set to 200 individuals; the number of iterations (generations) of the algorithm was set to 200; and the probability of applying the search operators was set between 20% and 80%. As commented above, MIGA also uses simulated annealing [55] as a local search strategy, with the following parameters: initial temperature 800,000, cooling rate 0.99, and minimum temperature 0.01. The experiments were performed on a personal computer with an Intel Core i7 3630Q processor (2.4 GHz, 8 GB DDR3 RAM), which executed the application we developed in the C# .Net Framework 4.
