引入相量算子和流向算子的天鹰优化算法
周玉,裴泽宣,王培崇,陈博

Aquila optimizer based on phasor operator and flow direction operator
Yu ZHOU,Zexuan PEI,Peichong WANG,Bo CHEN
表 6 测试函数的结果 (dim=100,${{\boldsymbol{f}}_{\boldsymbol{1}}} {\boldsymbol{\sim}} {{\boldsymbol{f}}_{{\boldsymbol{10}}}}$)
Tab.6 Results of test function (dim=100,${f_1} - {f_{10}}$)
函数算法最优值平均值标准差函数算法最优值平均值标准差
$ {f_1} $SOA86.554294.135220.9621$ {f_6} $SOA0.03411.12362.6557
PSO0.62200.62540.0239PSO157.3364163.636125.3142
SSA3.3646×10−553.3345×10−317.223 4×10−30SSA000
GNDO23.155233.312016.3251GNDO362.36384.2132.6520
PPSO0.74860.89980.3654PPSO258.24274.6561.0320
FDA89.724393.10869.2320FDA000
AO9.466 2×10−788.253×10−758.223 6×10−76AO000
MIAO3.371 6×10−1586.223 7×10−1292.678 4×10−129MIAO000
$ {f_2} $SOA0.13781.23552.6341$ {f_7} $SOA1.223 4×10−44.337 8×10−33.707 1×10−3
PSO0.22010.44360.6520PSO1.87522.03140.6321
SSA7.3240×10−30.00212.3114×10−3SSA8.881 8×10−168.881 8×10−160
GNDO5.64888.06415.6630GNDO11.721713.40945.3241
PPSO1.75922.09000.4354PPSO2.33232.13540.3542
FDA4.487 9×10−45.832 5×10−42.665 2×10−4FDA4.440 9×10−154.440 9×10−150
AO9.782 8×10−53.521 1×10−44.695 7×10−4AO8.881 8×10−168.881 8×10−160
MIAO 1.704 1×10−5 4.122 0×10−4 5.314 2×10−4MIAO 8.881 8×10−16 8.881 8×10−160
$ {f_3} $SOA0.00210.93281.5631$ {f_8} $SOA0.014356.442983.9514
PSO1.913 5×10−93.556 4×10−72.635 7×10−7PSO0.05270.06001.3255e-3
SSA000SSA000
GNDO5.551 1×10−175.551 1×10−172.392 8×10−19GNDO61.113874.351222.2511
PPSO000PPSO0.10390.11730.0062
FDA000FDA000
AO000AO000
MIAO000MIAO000
$ {f_4} $SOA0.01514.15318.3361$ {f_9} $SOA−1−0.98890.1264
PSO66.354885.364251.3260PSO−1−10
SSA7.572 5×10−803.214 6×10−654.012 6×10−65SSA−1−10
GNDO1141.21148.743.2651GNDO−1−0.96320.0023
PPSO180.23210.247.3521PPSO−1−10
FDA3.624 7×10−795.624 4×10−759.214 4×10−75FDA−1−10
AO2.246 3×10−1573.514 4×10−1336.331 4×10−133AO−1−10
MIAO000MIAO−1−10
$ {f_5} $SOA2.460 5×10−60.05530.3662$ {f_{10}} $SOA−957.9990−950.637410.5231
PSO1.887 8×10−81.223 6×10−73.263 1×10−8PSO−66.8437−66.84370
SSA5.341 9×10−1131.324 9×10−502.312 6×10−50SSA−894.3315−888.163443.6612
GNDO1.135 3×10−74.714 2×10−103.256 4×10−10GNDO−959.6406−959.64064.125 0×10−4
PPSO6.154 3×10−96.734 3×10−72.663 4×10−9PPSO−66.0970−65.42111.3325
FDA3.257 8×10−1162.647 6×10−1133.654 2×10−113FDA−959.4607−959.46054.332 1×10−3
AO1.481 3×10−952.794 9×10−293.654 2×10−29AO−959.6407−-959.64043.412 2×10−3
MIAO4.185×10−1784.893 1×10−1521.233 0×10−152MIAO−959.6407−959.64061.256 1×10−3