精英协同进化的蜉蝣算法
吴慧玲,刘升

Elite coevolutionary mayfly algorithm
Huiling WU,Sheng LIU
表 2 不同群智能算法在基准测试函数上的优化结果
Tab.2 Optimization results of different swarm intelligence algorithms in benchmark test functions
算法函数avgstd函数avgstd函数avgstd函数avgstd
ECMAF100F200F300F400
MA7.02×10−192.33×10−181.24×10−92.41×10−92.49×10−62.56×10−65.21×10−11.89×10−1
WOA8.76×10−1484.79×10−1472.97×10−1041.07×10−1032.27×1041.01×1043.69×1012.94×101
GWO1.53×10−585.75×10−581.32×10−341.69×10−342.34×10−141.13×10−131.29×10−141.88×10−14
PSO1.18×10−85.87×10−89.27×10−21.41×10−14.97×1012.47×1025.92×10−13.59×10−1
SCA1.48×10−23.46×10−21.78×10−53.54×10−53.77×1032.98×1031.91×1011.19×101
ECMAF52.70×1018.15×10−1F62.00×10−12.19×10−1F74.55×10−53.63×10−5F8−9.30×1035.33×102
MA2.92×1012.15×1013.26×10−198.91×10−191.26×10−24.86×10−3−9.55×1035.45×102
WOA2.72×1015.32×10−18.79×10−21.08×10−12.34×10−32.79×10−3−1.15×1041.46×103
GWO2.70×1018.14×10−17.25×10−14.22×10−18.04×10−44.37×10−4−5.89×1039.99×102
PSO4.55×1013.99×1017.95×10−73.62×10−61.86×10−28.72×10−3−6.33×1038.90×102
SCA8.95×1021.64×1034.716.51×10−14.75×10−26.90×10−2−3.93×1032.86×102
ECMAF900F108.88×10−160F1100F127.58×10−36.35×10−3
MA8.694.321.973.77×10−11.19×10−21.06×10−24.15×10−25.84×10−2
WOA003.02×10−152.40×10−151.65×10−39.03×10−38.25×10−31.16×10−2
GWO5.46×10−11.821.60×10−143.22×10−153.50×10−36.81×10−33.95×10−22.44×10−2
PSO5.38×1011.48×1011.258.51×10−14.37×10−23.78×10−21.56×10−12.53×10−1
SCA1.56×1012.12×1011.24×1019.592.32×10−12.23×10−13.555.65
ECMAF132.152.80×10−1F149.98×10−15.39×10−10F153.16×10−43.84×10−5F16−1.036.45×10−16
MA2.54×10−25.74×10−29.98×10−14.12×10−179.76×10−43.66×10−3−1.036.58×10−16
WOA2.11×10−11.64×10−11.821.896.26×10−43.07×10−4−1.036.29×10−11
GWO4.93×10−11.77×10−14.914.573.06×10−36.91×10−3−1.035.61×10−9
PSO1.22×10−13.10×10−14.633.501.07×10−33.66×10−3−1.036.78×10−16
SCA2.47×1038.76×1031.538.92×10−19.50×10−43.46×10−4−1.032.56×10−5
ECMAF173.98×10−10F183.002.03×10−3F19−3.862.68×10−15F20−3.313.63×10−2
MA3.98×10−103.001.14×10−15−3.862.71×10−15−3.295.35×10−2
WOA3.98×10−12.20×10−63.001.97×10−5−3.862.77×10−3−3.241.18×10−1
GWO3.98×10−19.06×10−73.001.23×10−5−3.862.40×10−3−3.249.24×10−2
PSO3.98×10−103.001.08×10−15−3.862.71×10−15−3.275.99×10−2
SCA3.98×10−11.31×10−33.002.62×10−5−3.851.40×10−3−3.041.02×10−1