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This study explores the intricate relationships between various objective values derived from a comprehensive dataset. By examining multi-dimensional angles and their distributions, we identify patterns and anomalies that inform decision-making processes. Utilizing advanced statistical techniques, this analysis aims to enhance understanding of the underlying mechanics present in the data. The results offer valuable insights into potential optimization strategies across numerous applications, ranging from engineering to data science.
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430˚ 15 336.667˚ 1 5 6 150˚ I1 675˚ 11 I2 2 590˚ 450˚ 4.5 430˚ I3 3 7 115˚ 540˚ 430˚ 60 I4 8 345˚ 300˚ 12 I5 400˚ 9 10 100˚ 125 I6 11 300˚ 230˚ 8390 4 800˚ I7 801˚ 521.52˚ 301.492˚ 32.954 275.96˚ 47 246.17˚ 410˚ J1 60˚ 531.49˚ 710˚ 14.046 445.24˚ 554.88˚ 107.692˚ 86.667 J2 110.3 140˚ 80˚ 23.625 a_7S4 72 INTERVALS OBJECTIVE VALUE 674551.6611
430˚ 15 1 5 150˚ I1 675˚ 11 I2 2 590˚ 450˚ 4.5 430˚ I3 3 6 115˚ 540˚ 430˚ 60 I4 7 345˚ 12 I5 280˚ 400˚ 8 9 100˚ 265.66˚ 125 I6 10 11 300˚ 230˚ 8390 4 800˚ I7 310˚ 801˚ 520.53˚ 16.8 33.25 47 5.67 301.49˚ 310˚ 410˚ J1 60˚ 531.49˚ 293.7˚ 13.75 710˚ 446˚ 24.53 235˚ 558˚ 118.24˚ J2 110.3 140˚ 80˚ a_7S4 90 INTERVALS OBJECTIVE VALUE 683217.3976
430˚ 15 211.25˚ 1 5 6 150˚ I1 675˚ 11 I2 2 590˚ 450˚ 4.5 430˚ I3 3 7 115˚ 540˚ 430˚ 60 I4 8 345˚ 12 I5 400˚ 9 100˚ 275.59˚ 125 I6 10 11 300˚ 230˚ 8390 4 I7 801˚ 800˚ 9.375 29.4 526.07˚ 410˚ 47 12.65 J1 531.49˚ 60˚ 531.74˚ 293.33˚ 6.075 37.625 274.45˚ 710˚ 17.02 4.95 510˚ 271.52˚ 14.53 270˚ 110.3 J2 88.33˚ 80˚ 140˚ a_7S4 117 INTERVALS OBJECTIVE VALUE 637802.2298
47 710˚ 430˚ 15 206.96˚ 1 5 6 150˚ I1 675˚ 11 I2 2 590˚ 450˚ 4.5 430˚ I3 3 7 115˚ 540˚ 430˚ 60 I4 8 345˚ 12 I5 400˚ 9 100˚ 276.105˚ 125 I6 10 11 300˚ 230˚ 8390 4 I7 801˚ 800˚ 9.559 526.07˚ 410˚ 31.661 531.49˚ 6.075 J1 60˚ 293.33˚ 37.441 15.339 442.27˚ 273.78˚ 17.143 270˚ 542.67˚ 14.223 270˚ 110.3 J2 87.75˚ 80˚ 140˚ a_7S4 123 INTERVALS OBJECTIVE VALUE 634082.9525
430˚ 15 1 5 150˚ I1 675˚ 11 I2 2 590˚ 450˚ 4.5 430˚ I3 3 6 115˚ 540˚ 430˚ 60 I4 7 345˚ 12 I5 400˚ 8 100˚ 125 249.34˚ I6 10 11 300˚ 230˚ 8390 4 I7 801˚ 800˚ 316.65˚ 518.7˚ 5.523 33.81 47 301.49˚ 311.08˚ 14.338 410˚ J1 60˚ 531.49˚ 13.19 710˚ 447.53˚ 293.34˚ 27.139 564.285˚ 70 J2 110.3 80˚ 140˚ 40.3 a_7S4 133 INTERVALS OBJECTIVE VALUE 703595.1836
430˚ 15 1 5 150˚ I1 675˚ 11 I2 2 590˚ 450˚ 4.5 229.55˚ 430˚ I3 3 6 7 115˚ 540˚ 430˚ 60 I4 8 345˚ 12 I5 400˚ 9 100˚ 278.82˚ 125 I6 10 11 300˚ 230˚ 8390 4 800˚ I7 801˚ 12 534.97˚ 32.112 420.53˚ 47 2.577 410˚ 60˚ J1 531.49˚ 18.237 257.4˚ 710˚ 14.887 32.423 252.7˚ 523.98˚ 14.185 246.67˚ J2 84.67˚ 110.3 80˚ 140˚ a_7S4 144 INTERVALS OBJECTIVE VALUE 636887.4982
430˚ 15 179.9˚ 1 5 6 150˚ I1 675˚ 11 I2 2 590˚ 450˚ 4.5 430˚ I3 3 7 115˚ 540˚ 430˚ 60 I4 8 345˚ 245.47˚ 12 I5 400˚ 9 10 100˚ 11 61.812 125 I6 300˚ 230˚ 63.188 12 8390 4 I7 801˚ 800˚ 10.718 29.75 533.53˚ 410˚ 531.49˚ 47 12.575 J1 60˚ 532.47˚ 36.282 6.259 286.47˚ 710˚ 269.43˚ 4.675 204.12˚ 515.88˚ 30.023 265.88˚ 110.3 J2 80˚ 140˚ 99.9˚ 84.07˚ a_7S4 154 INTERVALS OBJECTIVE VALUE 634995.3682
430˚ 15 336.67˚ 1 5 6 150˚ I1 675˚ 11 I2 2 590˚ 450˚ 4.5 430˚ I3 3 7 115˚ 540˚ 430˚ 60 I4 8 345˚ 12 I5 400˚ 9 100˚ 260.54˚ 125 I6 10 11 300˚ 230˚ 8390 4 I7 801˚ 800˚ 390.93˚ 298.64˚ 535˚ 11.742 5.94 29.4 47 17.657 526.67˚ 410˚ 271.7˚ 263.89˚ 13.2 60˚ J1 531.49˚ 14.967 710˚ 270.76˚ 35.257 23.403 522.5˚ 416.35˚ J2 110.3 80˚ 140˚ a_7S4 169 INTERVALS OBJECTIVE VALUE 635520.8628
