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. 2019 Jun 1;19(11):2515. doi: 10.3390/s19112515

Table 4.

Comparative analysis—HEHO and dynsTGA vs. other metaheuristics for unconstrained benchmarks. (best results for each performance indicator are marked bold).

ID Indicator IBPA LADA TS WSA HEHO dynsTGA
Best 0.00815 0.00088 0.14185 0.888 × 10−15 0.00 0.00
F1 Mean 0.02260 0.00473 0.38528 0.888 × 10−15 0.00 0.00
StdDev 0.01021 0.00157 0.07488 1.0029 × 10−31 0.00 0.00
Best −0.35238 −0.35238 −0.35238 −0.35238 −0.35239 −0.35239
F2 Mean −0.35238 −0.35238 −0.35238 −0.35236 −0.35239 −0.35239
StdDev 1.067 × 10−6 5.576 × 10−7 2.183 × 10−5 8.761 × 10−6 2.28 × 10−8 3.53 × 10−9
Best 3.217 × 10−9 1.259 × 10−9 3.955 × 10−7 5.589 × 10−8 0.00 0.00
F3 Mean 2.826 × 10−7 2.486 × 10−7 7.637 × 10−6 1.267 × 10−7 5.44 × 10−8 2.04 × 10−9
StdDev 2.838 × 10−7 2.704 × 10−7 6.302 × 10−6 3.877 × 10−8 6.01 × 10−9 5.11 × 10−10
Best −0.99999 −0.99999 −0.99999 −0.99999 −0.99999 −0.99999
F4 Mean −0.83334 −0.99999 −0.46667 −0.99957 −0.99999 −0.99999
StdDev 0.379010 2.885 × 10−6 0.507330 2.025 × 10−4 1.22 × 10−5 8.45 × 10−5
Best 0.08790 0.00606 4.58753 0.00 0.00 0.00
F5 Mean 0.29275 0.01584 6.35541 0.00 0.00 0.00
StdDev 0.12481 0.00554 0.89405 0.00 0.00 0.00
Best 1.6578 13.1161 24.7395 8.9167 0.5395 0.5361
F6 Mean 12.1420 26.4740 66.1024 8.9449 0.8876 0.8502
StdDev 14.9202 14.9521 19.1763 0.0160 0.3053 0.3137
Best 3.00000 3.00000 3.00000 3.00000 3.00000 3.00000
F7 Mean 5.70001 10.00710 3.00053 3.00032 3.00083 3.00068
StdDev 8.23847 16.46670 5.751 × 10−4 1.622 × 10−4 6.211 × 10−4 7.305 × 10−4
Best 5.399 × 10−6 8.124 × 10−5 3.120 × 10−5 32.83 2.05 × 10−6 8.45 × 10−6
F8 Mean 0.00157 5.362 × 10−4 2.047 × 10−4 32.83 4.64 × 10−2 3.50 × 10−2
StdDev 0.00162 3.456 × 10−4 1.382 × 10−4 1.445 × 10−15 1.92 × 10−1 1.72 × 10−1