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11 October 2023 Interval optimization for uncertain structure using particle swarm algorithm
Chun Yan Pei, Ying Shuang Zhang, Chen Xu Zhao
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Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128000J (2023) https://doi.org/10.1117/12.3003813
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China
Abstract
In this paper, an interval optimization method for uncertain structures is proposed. To obtain the lightest structure, a combination of interval mathematics and optimization algorithm are utilized. The uncertain parameters of the structure are described as interval parameters, and the upper and lower bounds of displacement constraints are derived by transforming the uncertain structural equations with the interval expansion. In order to obtain the optimal solution of the uncertain structure, the Particle Swarm Optimization (PSO) with dynamic time-varying inertia parameters is applied to optimize the structure, and effectively integrate it with the interval method. Based on the methodology, the optimal solution intervals of the structure can be obtained. This method provides a new approach for optimal design of uncertain structures.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Chun Yan Pei, Ying Shuang Zhang, and Chen Xu Zhao "Interval optimization for uncertain structure using particle swarm algorithm", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128000J (11 October 2023); https://doi.org/10.1117/12.3003813
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KEYWORDS
Particle swarm optimization
Mathematical optimization
Algorithms
Mathematical modeling
Structural analysis
Structural design
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