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Table 2Results of constrained benchmark functions表2带有约束函数测试结果函数(全局最优)算法最优值平均值解方差
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f7 ETLBO-30 665.539-30 665.539 0 0.0(-30 665.539 )ITLBO-30 665.539-30 665.539 0 0.0OBLSATLBO-30 665.539 -30 665.539 0 0.0
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f8 ETLBO7 218.2587 370.191 125 .0(7 049.248) ITLBO7 132.8917 290.18289.2OBLSATLBO 7 099.2817 124.67379.3
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f9 ETLBO-6 961.814-6 961.8140.0(-6 961.814)ITLBO-6 961.814-6 961.8140.0OBLSATLBO -6 961.814-6 961.8140.0
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f10 ETLBO-15-13.351.58(-15)ITLBO-15-13.911.24OBLSATLBO-15-14.620.31
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f11ETLBO24.318 024.492 6 0.245 1(24.306 2)ITLBO24.298 124.381 1 0.229 8OBLSATLBO 24.300 124.306 2 0.028 1[5]Rao R V, Savsani V J, Vakharia D P. Teachinglearning based optimization:A novel method for constrained mechanical design optimization problems[J]. Computer Aided Design,2011,43(3):303315.
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