Research Article
Antioptimisation of Trusses Using Two-Level Population-Based Incremental Learning
Table 5
Optimum results of AOP5.
| MHs | HybridGA | PBILb5 | PBILw5 | PBILw5m | PBILw1 | PBILw10 | Avrg | Stdev | Avrg | Stdev | Avrg | Stdev | Avrg | Stdev | Avrg | Stdev | Avrg | Stdev |
| | 0.0787 | 0.0157 | 0.0787 | 0.0082 | 0.0813 | 0.0111 | 0.0800 | 0.0105 | 0.0730 | 0.0065 | 0.0870 | 0.0115 | | 0.1233 | 0.0286 | 0.1533 | 0.0127 | 0.1483 | 0.0091 | 0.1500 | 0.0131 | 0.1500 | 0.0000 | 0.1577 | 0.0311 | | 0.0830 | 0.0174 | 0.0780 | 0.0119 | 0.0833 | 0.0175 | 0.0810 | 0.0171 | 0.0717 | 0.0087 | 0.0903 | 0.0227 | | 0.0770 | 0.0124 | 0.0810 | 0.0212 | 0.0787 | 0.0111 | 0.0747 | 0.0104 | 0.0727 | 0.0087 | 0.0883 | 0.0261 | | 0.0807 | 0.0141 | 0.0770 | 0.0079 | 0.0803 | 0.0096 | 0.0803 | 0.0110 | 0.0717 | 0.0065 | 0.0847 | 0.0117 | | 0.0793 | 0.0131 | 0.0740 | 0.0062 | 0.0783 | 0.0099 | 0.0770 | 0.0088 | 0.0710 | 0.0031 | 0.0857 | 0.0205 | | 0.1200 | 0.0249 | 0.1483 | 0.0091 | 0.1533 | 0.0183 | 0.1567 | 0.0217 | 0.1517 | 0.0091 | 0.1557 | 0.0310 | | 0.0893 | 0.0187 | 0.0857 | 0.0176 | 0.0840 | 0.0214 | 0.0840 | 0.0181 | 0.0750 | 0.0107 | 0.0963 | 0.0318 | | 0.0780 | 0.0140 | 0.0807 | 0.0098 | 0.0827 | 0.0120 | 0.0777 | 0.0094 | 0.0747 | 0.0094 | 0.0833 | 0.0163 | | 0.0810 | 0.0106 | 0.0783 | 0.0095 | 0.0783 | 0.0105 | 0.0777 | 0.0101 | 0.0713 | 0.0035 | 0.0817 | 0.0162 | | 0.0817 | 0.0109 | 0.0773 | 0.0098 | 0.0823 | 0.0205 | 0.0767 | 0.0152 | 0.0707 | 0.0052 | 0.0850 | 0.0242 | | 0.1500 | 0.0000 | 0.1533 | 0.0127 | 0.1500 | 0.0000 | 0.1500 | 0.0000 | 0.1500 | 0.0000 | 0.1540 | 0.0234 | | 0.0857 | 0.0161 | 0.0823 | 0.0168 | 0.0860 | 0.0203 | 0.0823 | 0.0165 | 0.0737 | 0.0089 | 0.0940 | 0.0302 | | | 0.8037 | | 0.7962 | | 0.7824 | | 0.9604 | | 0.7010 | | 1.0779 | | | 0.7655 | | 1.0364 | | 1.0393 | | 0.9608 | | 0.9619 | | 1.3451 | | | 0.7922 | | 1.1555 | | 1.1576 | | 1.0618 | | 0.9760 | | 1.3226 | | 194.0161 | 59.2515 | 238.8221 | 48.0552 | 300.0000 | 0.0000 | 300.0000 | 0.0000 | 300.0000 | 0.0000 | 299.5406 | 2.5164 | | 168.5592 | 35.6225 | 251.6178 | 31.7033 | 300.0000 | 0.0000 | 300.0000 | 0.0000 | 300.0000 | 0.0000 | 296.8964 | 16.9992 | | 239.6624 | 57.7826 | 231.6178 | 47.0528 | 300.0000 | 0.0000 | 300.0000 | 0.0000 | 300.0000 | 0.0000 | 299.4868 | 2.8109 | | | | | | | | | | | | | | | 5222.3215 | 813.5479 | 5440.5355 | 524.4721 | 5616.7374 | 429.4775 | 5679.4132 | 654.9014 | 4938.2933 | 266.2513 | 6585.0710 | 1474.1376 | max | | 0.0000 | | 0.0000 | | 0.0000 | | 0.0000 | | 0.0000 | 68.9978 | 377.9440 |
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