1 1 0.75 0.5 0.25 -0.25 -0.5 -0.75 -1 f1 = 0.05 f3 = 0.45 f2 = 0.88′ E + Eq + I + Iq GDP P 050 100 150 200 250 300 (a) 1 0.75 0.5 0.25 -0.25 -0.5 -0.75 -1 f1 = 0.14 f3 = 0.42 f2 = -0.82′ E + Eq + I + Iq GDP P 050 100 150 200 250 300 (b) 1 0.75 0.5 0.25 -0.25 -0.5 -0.75 -1 f1 = 0.05 f3 = 0.68 f2 = 0.65′ E + Eq + I + Iq GDP P 050 100 150 200 250 300 (c) FIGURE 6 Three extreme strategies for ENPI. (a) and (b) represent the strategy with the lowest value of f1 and f2 l (scaled value for better visualization) over all solutions. (c) represents the strategy with the highest value for f3, which corresponds to the strategy in which the most intense intervention efforts were made. (a) fmin 1 (b) fmin 2 (c) fmax 3 1 0.2 0.4 0.6 0.8 050 100 150 200 250 300 0.2 0.4 0.6 0.8 050 100 150 200 250 300 1 0.2 0.4 0.6 0.8 050 100 150 200 250 300 cr pqr cd pqer cr pqr cd pqer cr pqr cd pqer AUGUST 2022 | IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE 63