are presented to show the process ofoptimization of DQ-HSES in comparison with that ofHSES in Figure 4. For each function, HSES and DQFIGURE 4 The curves of optimization of six functions on the CEC 2014 test suite. (a) F16 in 10D, (b) F24 in 10D, (c) F11 in 30D, (d) F16 in 30D, (e) F17 in 50D, and (f) F21 in 50D. TABLE VII Results on 10D test functions of CEC 2018. cDE MEAN F1 F3 F4 F5 F6 F7 F8 F9 F10 F11 F12 F13 F14 F15 F16 F17 F18 F19 F20 F21 F22 F23 F24 F25 F26 F27 F28 F29 F30 BM y= =x 0.00e+00 0.00e+00 0.00e+00 4.62e+00x 0.00e+00 1.55e+01x 5.73e+00x 0.00e+00 1.87e+02x 5.54e-01y 1.39e+02x 5.05e+00x 6.48e-01y 3.09e-01y 2.96e+00y 1.32e+00y 1.13e+00x 4.19e-03y 9.90e-02y 1.79e+02y 9.28e+01y 3.07e+02x 3.26e+02x 4.17e+02y 3.19e+02x 3.89e+02y 4.04e+02y 2.36e+02y 8.06e+04x 6(5) 13/5/11(11/1/9) STD 0.00e+00 0.00e+00 0.00e+00 1.84e+00 0.00e+00 2.74e+00 2.11e+00 0.00e+00 1.10e+02 9.14e-01 1.60e+02 2.97e+00 9.73e-01 4.85e-01 1.68e+01 8.12e+00 3.92e+00 8.08e-03 1.97e-01 4.90e+01 2.65e+01 2.56e+00 4.62e+01 2.34e+01 1.30e+02 2.01e+00 1.39e+02 6.43e+00 2.45e+05 MEAN 0.00e+00 0.00e+00 0.00e+00 3.57e+00x 0.00e+00 1.34e+01x 3.76e+00x 0.00e+00 9.17e+01x 9.75e-02y 1.67e-01y 1.07e+00y 0.00e+00y 9.31e-03y 2.24e-01y 1.57e+00y 6.37e-03y 8.99e-03y 0.00e+00y 1.37e+02y 7.86e+01y 3.04e+02x 2.74e+02y 3.99e+02y 3.00e+02 3.88e+02y 3.05e+02y 2.29e+02y 3.95e+02y 18(14) 18/6/5(15/5/4) HSES are run 11 times and the logarithm ofthe mean ofthe function values obtained during the search process are plotted. The figures show that DQHSES performs significantly better than HSES, and usually requires fewer fitness evaluations (nfes) to reach a better solution than it. CoBiDE jSO STD 0.00e+00 0.00e+00 0.00e+00 1.53e+00 0.00e+00 2.00e+00 1.71e+00 0.00e+00 9.56e+01 2.98e-01 1.31e-01 1.83e+00 0.00e+00 3.52e-02 1.52e-01 6.18e-01 2.77e-02 1.33e-02 0.00e+00 5.15e+01 4.16e+01 1.58e+00 1.02e+02 9.14e+00 0.00e+00 9.02e-01 3.97e+01 2.77e+00 3.50e+00 MEAN 0.00e+00 0.00e+00 0.00e+00 1.75e+00x 0.00e+00 1.17e+01x 1.95e+00x 0.00e+00 3.58e+01 0.00e+00y 2.66e+00y 2.96e+00y 5.85e-02y 2.20e-01y 5.68e-01y 5.02e-01y 3.08e-01y 1.07e-02y 3.42e-01y 1.32e+02y 1.00e+02 3.01e+02x 2.96e+02 4.05e+02y 3.00e+02 3.89e+02y 3.39e+02y 2.34e+02y 3.94e+02y 12(10) 16/9/4(13/7/4) STD 0.00e+00 0.00e+00 0.00e+00 7.60e-01 0.00e+00 6.06e-01 7.43e-01 0.00e+00 5.54e+01 0.00e+00 1.67e+01 2.35e+00 2.36e-01 2.00e-01 2.64e-01 3.48e-01 1.95e-01 1.25e-02 1.28e-01 4.83e+01 0.00e+00 1.58e+00 7.93e+01 1.74e+01 0.00e+00 2.25e-01 9.65e+01 2.95e+00 4.49e-02 MEAN 0.00e+00 0.00e+00 0.00e+00 8.15e-01 0.00e+00 1.10e+01 7.01e-01 0.00e+00 8.88e+01 7.61e-01 2.26e+01 3.17e+00 6.00e+00 8.17e-01 4.41e+00 1.18e+01 7.02e-01 4.31e-01 6.98e+00 1.98e+02 1.00e+02 2.99e+02 3.21e+02 4.46e+02 3.00e+02 3.97e+02 5.92e+02 2.64e+02 4.13e+02 10(9) DQ-HSES STD 0.00e+00 0.00e+00 0.00e+00 8.79e-01 0.00e+00 5.61e-01 7.96e-01 0.00e+00 1.30e+02 3.50e+00 5.52e+01 2.58e+00 1.20e+01 1.73e+00 2.03e+01 9.95e+00 1.61e+00 8.89e-01 9.06e+00 1.76e+01 0.00e+00 2.13e+01 3.90e+01 1.18e+00 8.82e+00 1.93e+00 3.80e+01 1.10e+01 2.34e+01 98 IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE | FEBRUARY 2023