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Table 3Experimental results of parameter optimization of the three algorithms表3三种算法参数寻优的实验结果数据集名网格搜索法Cgα/%t/sFOA_SVMCgα/%t/sFFUD_SVMCgα/%t/sIO4.61±2.780.25±0.1391.8541.392.66±1.090.25±0.0692.671.582.88±1.090.26±0.1095.121.48IR5.75±2.690.40±0.2797.0123.662.98±1.810.29±0.1297.650.552.52±0.810.23±0.0598.570.47SE5.98±3.440.37±0.2994.8633.143.15±1.540.28±0.1695.170.773.03±1.350.27±0.1295.900.62WI2.32±2.610.18±0.1197.9233.852.90±1.490.26±0.1198.060.783.13±1.640.21±0.1298.760.65WD2.67±1.560.15±0.0785.981 9202.30±0.620.19±0.0686.0182.002.08±0.210.13±0.0586.1959.00Figure 4Schematic diagram of the local searching of the uniform design
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