Research Article

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

Table 4

Comparison of hybrid function test results.

AlgorithmHF1HF2HF3HF4
MeanStdMeanStdMeanStdMeanStd
PSO1.967+064.507+072.265+062.709+096.138+014.276+021.096+046.712+04
Jaya1.687+054.752+075.810+043.677+091.791+018.289+012.471+022.720+04
cfwPSO2.068+071.093+083.848+083.752+092.838+024.295+028.962+049.819+04
cfPSO1.449+061.120+081.735+084.199+091.264+027.041+021.549+045.098+04
NTLBO2.550+063.326+081.277+096.234+093.418+021.227+033.612+042.256+05
DE3.655+051.169+072.823+021.036+085.510+012.135+015.653+031.208+05
ETLBO8.117+062.907+089.350+086.076+093.130+021.734+036.165+042.340+05
SSA7.432+041.830+066.768+031.773+031.125+012.679+012.324+027.350+03
DOLSSA4.025+041.408+061.077+034.106+028.893+003.502+012.113+022.172+04

AlgorithmHF5HF6ONAR
PSO4.092+043.047+078.838+021.597+0305.17
Jaya9.749+034.165+063.119+029.115+0203.00
cfwPSO3.717+064.300+071.227+032.105+0308.00
cfPSO5.527+055.610+078.106+021.400+0305.67
NTLBO5.499+065.814+078.600+021.968+0407.67
DE2.777+051.795+062.640+022.972+0213.33
ETLBO2.077+071.676+081.117+036.197+0408.17
SSA5.346+045.068+053.424+021.026+0302.83
DOLSSA6.813+035.182+053.735+018.039+0251.17