- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | JIANG Zhengrong, SU Changwang, SHI Kairong, ZHOU Zijie. Prestress Optimization of Suspended Domes with Plant Growth Simulation Algorithm Based on Multi-Mechanism Fusion[J]. Journal of Southwest Jiaotong University, 2026, 61(1): 127-135. doi: 10.3969/j.issn.0258-2724.20240023
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To address the limitations of difficult convergence to the global optimal solution with fixed step search, strong dependence on the selection of initial growth point, and huge growth space for the plant growth simulation algorithm (PGSA), a new strategy for search mechanism of adaptive variable step, Gauss perturbation mutation mechanism, and screening mechanism of growth space was proposed. On this basis, the PGSA based on multi-mechanism fusion (multi-mechanism fusion PGSA) was established. The prestress optimization of suspended domes was further carried out by using the multi-mechanism fusion PGSA and compared with other algorithms. The results show that compared with the original PGSA, the introduction of search mechanism of adaptive variable step can avoid the algorithm falling into local optimal solutions; the introduction of Gauss perturbation mutation mechanism can solve the problem of poor optimization results caused by the improper selection of initial growth points, and the introduction of screening mechanism of growth space can effectively terminate the growth after the algorithm converges, thus significantly reducing the growth space by 97.64%. The number of iterations of multi-mechanism fusion PGSA is the smallest (only 45), and the absolute value of the average horizontal radial reaction of supports after optimization is minimal (only 0.004 kN) in comparison with other algorithms. Therefore, the applicability of this algorithm is verified.
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