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. 2022 Jun 21;17(6):e0267608. doi: 10.1371/journal.pone.0267608

Fig 5. Distribution of different parameters over the 100 subsets of parameters.

Fig 5

(a) Percentage of presence of the 1155 parameters. In the Statistical method, which is not present in the plot, the first parameter was repeated in all the 100 subsets. Numbers in the legend show the percentage repetition of the most repeated parameter. (b) Cumulative number of unique parameters over the 100 subsets of parameters. This plot shows that GA and NSGA2 concentrated on a small number of parameters, while the SA, ACO and PSO selected a more diverse range of parameters in the optimization. Numbers in the legend show the number of utilized parameters in the final solution of the 100 subsets of parameters. GA: Genetic algorithm; NSGA2: Nondominated sorting genetic algorithm II; ACO: Ant colony optimization; SA: Simulated annealing; PSO: Particle swarm optimization.