Research Article
A Modified Sine-Cosine Algorithm Based on Neighborhood Search and Greedy Levy Mutation
Table 7
Test statistical results with different strategies.
| Algorithm | | | | | |
| SCA | Best | 2.41227653E-99 | 4.35895925E-52 | 26.23629998 | 2.03984969E-06 | 0 | Mean | 7.79692173E-86 | 4.66854445E-46 | 27.08121170 | 1.75661500E-05 | 0 | Worst | 1.54558620E-84 | 4.16089002E-45 | 28.65013850 | 5.33965433E-05 | 0 | Std | 3.45449900E-85 | 1.08000440E-45 | 0.68246666 | 1.42228474E-05 | 0 |
| C-SCA | Best | 3.10050150E-187 | 6.28523597E-119 | 26.40050047 | 2.76012374E-06 | 0 | Mean | 3.07519823E-173 | 6.04561631E-105 | 27.03944045 | 2.34677075E-05 | 0 | Worst | 3.73083365E-172 | 1.20899644E-103 | 28.04482481 | 1.15810162E-04 | 0 | Std | 0 | 2.70338330E-104 | 0.55108210 | 2.52889873E-05 | 0 |
| N-SCA | Best | 1.32804165E-98 | 8.06533668E-57 | 25.94560968 | 8.07111724E-07 | 0 | Mean | 1.14472110E-87 | 2.02781396E-44 | 26.90664795 | 1.80576054E-05 | 0 | Worst | 2.23304334E-86 | 2.97707622E-43 | 28.65835507 | 8.44166161E-05 | 0 | Std | 4.98734410E-87 | 6.76072976E-44 | 0.68607944 | 1.91972975E-05 | 0 |
| G-SCA | Best | 1.53038991E-247 | 6.21923122E-69 | 25.07435867 | 9.33982351E-11 | 0 | Mean | 1.38742519E-228 | 1.57837645E-56 | 25.43773646 | 2.82512818E-10 | 0 | Worst | 2.75931538E-227 | 2.15594380E-55 | 25.96615750 | 4.971578236E-9 | 0 | Std | 0 | 5.19044381E-56 | 0.22877237 | 1.12630342E-10 | 0 |
| MSCA | Best | 0 | 0 | 7.76116677E-12 | 5.95321712E-07 | 0 | Mean | 0 | 0 | 5.82095129E-06 | 2.06970501E-05 | 0 | Worst | 0 | 0 | 2.47408894E-05 | 5.50713991E-05 | 0 | Std | 0 | 0 | 6.12299693E-11 | 1.31769905E-05 | 0 |
| Algorithm | | | | | |
| SCA | Best | 0 | 1.82820415 | 0.00031054 | 0.39788838 | -3.86226093 | Mean | 0 | 2.03922706 | 0.00041204 | 0.39799018 | -3.85557758 | Worst | 0 | 2.22177498 | 0.00126659 | 0.39837908 | -3.85462395 | Std | 0 | 0.10672949 | 0.00029067 | 0.00013970 | 0.00227718 |
| C-SCA | Best | 0 | 1.84451065 | 3.09612692E-04 | 0.39789121 | -3.86272470 | Mean | 0 | 2.05252816 | 3.62441048E-04 | 0.39795214 | -3.85598742 | Worst | 0 | 2.27441394 | 1.23237237E-03 | 0.39808342 | -3.85454062 | Std | 0 | 0.09517819 | 2.04871436E-04 | 0.00006120 | 0.00279692 |
| N-SCA | Best | 0 | 1.71770711 | 0.00030866 | 0.39789254 | -3.86269936 | Mean | 0 | 1.99159860 | 0.00037283 | 0.39799489 | -3.85705467 | Worst | 0 | 2.18349306 | 0.00124886 | 0.39841067 | -3.85470429 | Std | 0 | 0.11810434 | 0.00020886 | 0.00015085 | 0.00349793 |
| G-SCA | Best | 0 | 0.00384498 | 0.00030749 | 0.39788736 | -3.86278215 | Mean | 0 | 0.01677159 | 0.00046474 | 0.39788736 | -3.86278199 | Worst | 0 | 0.07222708 | 0.00122317 | 0.39788736 | -3.86278146 | Std | 0 | 0.01375995 | 0.00030237 | 0 | 0.00000021 |
| MSCA | Best | 0 | 1.349783804E-32 | 0.00030748598 | 0.397887358 | -3.86278215 | Mean | 0 | 1.349783804E-32 | 0.00030748598 | 0.397887358 | -3.86278215 | Worst | 0 | 1.349783804E-32 | 0.00030748598 | 0.397887358 | -3.86278215 | Std | 0 | 2.808011502E-48 | 0 | 0 | 0 |
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