Research Article

Wind Farm Layout Optimization Based on Dynamic Opposite Learning-Enhanced Sparrow Search Algorithm

Table 3

Comparison of unimodal and multimodal function test results.
(a)

AlgorithmF1F2F3F4
MeanStdMeanStdMeanStdMeanStd
PSO3.569+084.396+081.949+101.681+104.898+041.428+043.663+036.132+03
Jaya4.258+072.930+086.762+091.371+102.270+043.308+043.787+024.994+03
cfwPSO1.207+097.593+084.549+101.116+105.763+041.606+049.464+037.650+03
cfPSO1.261+088.990+082.042+101.425+102.770+043.584+042.834+032.335+03
NTLBO6.757+081.766+096.676+102.402+105.849+042.532+041.066+041.402+04
DE2.523+058.103+077.923+083.761+091.085+041.834+041.632+026.992+02
ETLBO1.161+097.492+083.718+102.679+101.085+043.115+044.899+031.102+04
SSA6.265+063.513+071.901+048.386+031.579+047.594+031.638+026.179+01
DOLSSA5.862+062.282+074.013+031.073+041.002+042.363+046.954+013.678+01

AlgorithmF5F6F7F8
PSO2.068+019.489-024.330+018.368+001.280+021.108+022.015+026.221+01
Jaya2.093+011.291-022.721+015.687+009.230+011.580+022.206+029.992+01
cfwPSO2.096+011.864-023.662+015.693+005.621+022.095+023.438+027.286+01
cfPSO2.029+014.295-022.555+012.196+001.363+021.479+022.048+024.275+01
NTLBO2.085+013.452-023.445+012.536+007.820+021.887+022.321+024.177+01
DE2.087+015.308-024.529+005.728+002.027+002.808+019.307+002.405+01
ETLBO2.127+016.118-023.942+013.863+004.049+021.243+022.296+021.396+01
SSA2.031+019.318-021.303+011.143+012.215-022.956-038.358+015.991+01
DOLSSA2.023+016.536-023.123+004.501+001.232-022.025-029.850+014.728+01

AlgorithmF9F10F11F12
PSO2.103+024.673+013.700+031.671+037.313+031.631+031.629+003.697-01
Jaya2.371+021.048+025.947+032.223+035.669+033.527+023.400+002.794-01
cfwPSO4.294+029.916+017.091+039.259+027.182+032.043+032.828+001.640-01
cfPSO1.723+029.160+012.972+038.508+024.240+031.249+036.248-012.965-01
NTLBO2.426+023.527+016.096+033.324+026.223+037.986+021.689+005.560-01
DE1.328+025.162+018.473+028.454+027.285+036.953+022.725+004.062-01
ETLBO2.808+024.188+017.847+032.376+026.940+031.477+032.853+005.735-01
SSA1.224+028.539+014.611+038.057+033.633+034.021+025.227-013.618-01
DOLSSA6.368+016.095+012.414+038.920+032.128+038.999+024.817-021.393-01

AlgorithmF13F14F15F16
PSO3.542+002.512-016.841+012.879+017.475+022.396+051.385+011.871-01
Jaya2.249+002.594-011.660+013.165+012.248+022.566+051.289+012.480-01
cfwPSO6.285+004.005-011.994+026.370+019.961+055.946+051.277+014.721-01
cfPSO3.842+005.193-011.053+029.696+013.456+041.546+061.221+014.298-01
NTLBO6.240+003.224-012.191+025.332+011.086+055.407+061.260+015.113-01
DE3.650-013.445-012.860-011.048+011.034+015.398+051.290+016.986-01
ETLBO6.760+002.829-011.387+025.835+011.779+056.232+061.330+012.920-01
SSA5.626-017.084-022.476-011.671-021.058+011.244+011.161+017.425-01
DOLSSA2.881-016.054-022.263-013.188-023.703+001.437+011.136+015.498-01

(b)

AlgorithmONAR

PSO05.75
Jaya05.12
cfwPSO07.88
cfPSO04.56
NTLBO07.06
DE33.25
ETLBO07.44
SSA02.69
DOLSSA131.25