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Optimization of laminated composite structures using harmony search algorithm

机译:基于和声搜索算法的层状复合结构优化

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This paper presents a study on the optimization of composite structures using harmony search (HS) algorithm. Modifications in the harmony memory are proposed to improve the reliability in stacking sequence optimizations. Using a memory formed by different designs keeps diversity and helps to prevent convergence to local optimum. Additionally, decreasing memory size during the optimization favours the exploration of the design space in the beginning and intensifies the search in promising regions in the end. HS is compared to many metaheuristic methods in a benchmark problem of buckling load maximization. Other examples present the optimization of laminated plates and shells using HS and finite element analysis considering material failure and geometric nonlinearity. Results indicate that HS is equal or better than other methods in optimization of composite structures. The variation of parameters during the optimization has a positive impact on the performance of HS. Furthermore, modifications presented in this paper increase the reliability of HS in optimizations with few function evaluations and should be considered in future works.
机译:本文提出了一种使用和声搜索(HS)算法对复合结构进行优化的研究。提出了对和声存储器的修改以提高堆叠顺序优化中的可靠性。使用由不同设计形成的存储器可以保持多样性,并有助于防止收敛到局部最优。此外,在优化过程中减小内存大小有利于一开始就探索设计空间,并最终加强对有希望的区域的搜索。在屈曲载荷最大化的基准问题中,将HS与许多元启发式方法进行了比较。其他示例介绍了考虑材料破坏和几何非线性的,使用HS和有限元分析对层压板和壳体进行的优化。结果表明,在优化复合材料结构方面,HS等于或优于其他方法。优化期间参数的变化对HS的性能有积极影响。此外,本文提出的修改方法可以在几乎没有功能评估的情况下提高HS在优化中的可靠性,因此应在以后的工作中予以考虑。

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