Design of Composite Structure Optimization Model Based on Particle Swarm Optimization

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Abstract

As an optimization method, particle swarm optimization is developed on the basis of TSP problem. Therefore, it has certain advantages to apply it to the structural optimization design of composite materials of ships. Therefore, this paper conducts related investigation and research on particle swarm optimization and composite material structure optimization. This paper mainly uses the experimental method and the comparative method to conduct in-depth research on the optimization of the ship composite material structure. The experimental data show that, compared with the accurate results of finite element calculation, the support vector machine model has quite high calculation accuracy, and the errors of constraints and objective functions are both less than 0.5%.

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Dong, Z., & Chen, H. (2023). Design of Composite Structure Optimization Model Based on Particle Swarm Optimization. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 156, pp. 357–365). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-9376-3_41

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