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 5 固定维测试函数

Tab.5 Fixed dimension test functions

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_{11}} $ SOA 2.1994 5.8792 5.1739 $ {f_{13}} $ SOA −9.8922 −9.3907 0.4532 PSO 12.6705 12.6705 0 PSO −5.0522 −5.0522 0 SSA 2.9821 2.5631 1.3330 SSA −10.1532 −10.1532 0 GNDO 0.998 0.998 0 GNDO −10.1532 −10.1532 0 PPSO 12.6705 12.6705 0 PPSO −5.0877 −5.0877 0 FDA 0.998 1.9920 2.3254 FDA −10.1532 −5.0876 3.3321 AO 0.998 0.998 0 AO −10.1532 −10.1527 0.2140 MIAO 0.998 0.998 0 MIAO −10.1532 −10.1532 0 $ {f_{12}} $ SOA 0.0083 0.0080 0.0053 $ {f_{14}} $ SOA −2.8215 −2.6531 1.1233 PSO 6.782 2×10−4 9.159 4×10−4 5.735 4×10−4 PSO −3.3220 −3.1123 0.023 SSA 3.074 9×10−3 7.012 2×10−3 4.775 2×10−3 SSA −3.3220 −3.2156 0.1543 GNDO 3.074 8×10−4 3.074 9×10−4 2.324 7×10−4 GNDO −3.3219 −3.3219 1.2354×10−5 PPSO 5.325 4×10−4 6.327 7×10−4 4.325 4×10−4 PPSO −3.3220 −3.3182 3.2214×10−4 FDA 0.0004 0.0013 3.2621×10−3 FDA −3.1404 −3.0749 0.6325 AO 5.679 0×10−4 8.994 0×10−4 3.112 2×10−4 AO −3.1037 −3.0961 2.6480 MIAO 3.000 0×10−4 3.078 3×10−4 9.231 4×10−6 MIAO −3.3220 −3.2834 4.6213×10−3