“…However, ODS outperforms DS and DE in terms of simulation time. Table 9 shows that, for the multi-objective formulation, the average value of objective function obtained by ODS algorithm is close to the minimum value to a greater extent as compared to the average and 3,5,6,7,8,10,11,12,13,16,19,20,21,22,23,26,28,31 ,32 1041400 8069900 DS 0 -0 6999200 3, 6, 7, 11, 14, 15, 16, 20, 22, 23, 24, 27, 28, 29, 32 822162 7821362 ODS 0 -0 6768300 2,3 ,4,5,9, 12, 13, 15, 17, 20, 21, 23, 24, 25, 27, 28, 29, 31, 32 1041400 7809700 minimum values of DS algorithm and DE. This proves ODS to be better in terms of robustness.…”