Research Article
A New Genetic Algorithm Methodology for Design Optimization of Truss Structures: Bipopulation-Based Genetic Algorithm with Enhanced Interval Search
Table 7
Design and evolutionary data for BGAwEIS (spatial truss with 72-bars).
| | Design data |
| | Material properties | | Modulus of elasticity: ksi | | Density of material: 0.1 lb/ |
| | Loading data |
| | Case number | Joint number | X (kips) | Y (kips) | Z (kips) | | 1 | 1 | 5 | 5 | | | 2 | 1 | 0 | 0 | | | 2 | 0 | 0 | | | 3 | 0 | 0 | | | 4 | 0 | 0 | |
| | Constraint data | | Displacement constraints: inc () for and directions | | Stress constraints: ksi () |
| | Elements of continuous sets | | () |
| | Evolutionary data |
| | Input |
| | Number of design variables: 16 | | Size of solution region: | | Number of generation: 600 | | Size of inward population: 500 | | Size of outward population: 500 | | Size of core population: 500 |
| | | Cases | | | Case I | Case II | Case III | Case IV |
| | NGGES | 50 | 20 | 40 | 15 | | NSBS | 20 | 50 | 15 | 50 |
| | Output |
| | NSAS | 8 | 35 | 2 | 23 | | NFS | 8 | 7 | 11 | 12 | | Ratio 1 R1 | | | | | | Ratio 2 R2 | 30 | 12 | 40 | 12 | | Ratio 3 R3 | 75 | 85 | 55 | 50 | | Best feasible fitness value | | 427.753 | 452.286 | 380.784 | 381.08 | | Mean of feasible fitness values | | 694.574 | 842.722 | 891.234 | 882.993 | | Standard deviation of feasible fitness values | | 290.294 | 329.609 | 409.814 | 351.210 |
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