Research Article
Hybrid Biogeography Based Optimization for Constrained Numerical and Engineering Optimization
Table 3
Statistical features of results for twelve benchmark functions obtained by HBBO and other six state-of-the-art algorithms.
| Function | Metrics | HBBO | CBO-DM | PSO-DE | CRGA | SAPF | SMES | CDE |
| G01 | Best | −15 | −15.000 | 15.000000 | −14.9977 | −15.000 | −15.000 | −15.0000 | Mean | −14.799953 | −15.000 | −15.000000 | −14.9850 | −14.552 | −15.000 | −15.0000 | Worst | −13 | −15.000 | −15.000000 | −14.9467 | −13.097 | −15.000 | −15.0000 |
| G02 | Best | −0.8036179 | −0.803557 | −0.8036145 | −0.802959 | −0.803202 | −0.803601 | −0.794669 | Mean | −0.7805965 | −0.802774 | −0.756678 | −0.764494 | −0.755798 | −0.785238 | −0.785480 | Worst | −0.7330360 | −0.792576 | −0.6367995 | −0.722109 | −0.745712 | −0.751322 | −0.779837 |
| G03 | Best | −1.0050100 | −1.000 | −1.0050100 | −0.9997 | −1.000 | −1.000 | NA | Mean | −1.0050100 | −1.000 | −1.0050100 | −0.9972 | −0.964 | −1.000 | NA | Worst | −1.0050100 | −1.000 | −1.0050100 | −0.9931 | −0.887 | −1.000 | NA |
| G04 | Best | −30665.53867 | −30665.539 | −30665.539 | −30665.520 | −30665.401 | −30665.539 | −30665.539 | Mean | −30665.5387 | −30665.539 | −30665.539 | −30664.398 | −30665.922 | −30665.539 | −30665.536 | Worst | −30665.5387 | −30665.539 | −30665.539 | −30660.313 | −30656.471 | −30665.539 | −30665.509 |
| G05 | Best | 5126.4842 | 5126.498 | NA | 5126.500 | 5126.907 | 5126.599 | NA | Mean | 5126.4842 | 5126.498 | NA | 5507.041 | 5214.232 | 5174.492 | NA | Worst | 5126.4842 | 5126.498 | NA | 6112.075 | 5564.642 | 5304.167 | NA |
| G06 | Best | −6961.81388 | −6961.814 | −6961.8139 | −6956.251 | −6961.046 | −6961.814 | −6961.814 | Mean | −6961.81388 | −6961.814 | −6961.8139 | −6740.288 | −6953.061 | −6961.284 | −6960.603 | Worst | −6961.81388 | −6961.814 | −6961.8139 | −6077.123 | −6943.304 | −6952.482 | −6901.285 |
| G07 | Best | 24.3062091 | 24.326 | 24.3062091 | 24.882 | 24.838 | 24.327 | NA | Mean | 24.3062091 | 24.345 | 24.306210 | 25.746 | 27.328 | 24.475 | NA | Worst | 24.3062091 | 24.378 | 24.3062172 | 27.381 | 33.095 | 24.843 | NA |
| G08 | Best | −0.095825 | −0.095825 | −0.095826 | −0.095825 | −0.095825 | −0.095825 | NA | Mean | −0.095825 | −0.095825 | −0.095826 | −0.095819 | −0.095635 | −0.095825 | NA | Worst | −0.095825 | −0.095825 | −0.095826 | −0.095808 | −0.092697 | −0.095825 | NA |
| G09 | Best | 680.630057 | 680.630 | 680.63006 | 680.726 | 680.773 | 680.632 | 680.771 | Mean | 680.630057 | 680.630 | 680.63006 | 681.347 | 681.246 | 680.643 | 681.503 | Worst | 680.630057 | 680.630 | 680.63006 | 682.965 | 682.081 | 680.719 | 685.144 |
| G10 | Best | 7049.248021 | 7059.802 | 7049.2480 | 7114.743 | 7069.981 | 7051.903 | NA | Mean | 7049.248021 | 7075.832 | 7049.2480 | 8785.149 | 7238.964 | 7253.047 | NA | Worst | 7049.248021 | 7098.254 | 7049.2482 | 10826.09 | 7489.406 | 7638.366 | NA |
| G11 | Best | 0.74990 | 0.75 | 0.749999 | 0.750 | 0.749 | 0.75 | NA | Mean | 0.74990 | 0.75 | 0.749999 | 0.752 | 0.751 | 0.75 | NA | Worst | 0.74990 | 0.75 | 0.749999 | 0.757 | 0.757 | 0.75 | NA |
| G12 | Best | −1 | −1.000000 | 1.000000 | −1.000000 | −1.000000 | −1.000 | −1.000000 | Mean | −1 | −1.000000 | −1.000000 | −1.000000 | −0.99994 | −1.000 | −1.000000 | Worst | −1 | −1.000000 | −1.000000 | −1.000000 | −0.999548 | −1.000 | −1.000000 |
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