Table 10 Sensitivity analysis of maximum iteration.
From: A novel meta-heuristic algorithm based on candidate cooperation and competition
iterMax | 500 | 1000 | 1500 | 2000 | 2500 | 3000 | 3500 | 4000 |
|---|---|---|---|---|---|---|---|---|
\({{{F}}_{1}}(x)\) | 1.85E−05 | 1.11E−06 | 4.08E−07 | 1.72E−07 | 1.78E−07 | 4.65E−08 | 4.88E−08 | 4.29E−08 |
\({{{F}}_{2}}(x)\) | 1.58E+00 | 1.19E+00 | 1.27E+00 | 1.26E+00 | 1.26E+00 | 1.05E+00 | 0.89E+00 | 1.12E+00 |
\({{{F}}_{3}}(x)\) | 2.11E+02 | 4.15E+01 | 3.43E+01 | 2.24E+01 | 4.48E+01 | 8.68E+00 | 1.56E+00 | 4.69E+00 |
\({{{F}}_{4}}(x)\) | 7.87E+00 | 5.30E+00 | 7.67E+00 | 7.90E+00 | 8.70E+00 | 8.79E+00 | 7.33E+00 | 8.51E+00 |
\({{{F}}_{5}}(x)\) | 5.81E+01 | 1.01E+01 | 1.35E+01 | 1.20E+00 | 7.49E+00 | 4.52E+00 | 2.45E+00 | 4.86E+00 |
\({{{F}}_{6}}(x)\) | 2.10E−05 | 1.32E−06 | 4.01E−07 | 2.58E−07 | 1.05E−07 | 7.04E−08 | 4.05E−08 | 4.02E−08 |
\({{{F}}_{7}}(x)\) | 2.20E−03 | 1.29E−03 | 7.66E−04 | 9.48E−04 | 4.81E−04 | 3.77E−04 | 4.09E−04 | 4.70E−04 |
\({{{F}}_{8}}(x)\) | −1.12E+04 | −1.12E+04 | −1.14E+04 | −1.12E+04 | −1.09E+04 | −1.16E+04 | −1.03E+04 | −1.12E+04 |
\({{{F}}_{9}}(x)\) | 6.00E+00 | 3.00E+00 | 7.00E+00 | 3.00E+00 | 5.00E+00 | 7.00E+00 | 7.00E+00 | 7.00E+00 |
\({{{F}}_{10}}(x)\) | 3.27E+00 | 3.14E+00 | 3.13E+00 | 2.94E+00 | 2.84E+00 | 2.52E+00 | 2.78E+00 | 2.64E+00 |
\({{{F}}_{11}}(x)\) | 8.41E−02 | 1.10E−03 | 1.78E−09 | 1.38E−10 | 3.76E−11 | 3.09E−11 | 1.30E−11 | 1.38E−11 |
