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Optimization of Transmission Conditions for Thin Interphases in Composite Materials based on Colonial Competitive Algorithm

机译:基于殖民竞争算法的复合材料薄相间传输条件的优化

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In this paper a novel evolutionary universal search strategy called colonial competitive algorithm (CCA) is applied to establish an optimal imperfect transmission condition for a thin epoxy intermediate interphase layer which is bonded between two dissimilar strips of materials. The recently introduced CCA has demonstrated excellent capabilities such as faster convergence and better global optimum achievement. Finally the results of CCA are compared with finite element method (FEM) and genetic algorithm (GA). In application, compression shows the success of CCA for design of adhesive joints in the composite materials.
机译:在本文中,一种新颖的进化通用搜索策略被称为殖民竞争算法(CCA),用于为粘结在两个不同材料条之间的环氧中间相薄层建立最佳的不完美传输条件。最近推出的CCA已展示出出色的功能,例如更快的收敛和更好的全局最佳实现。最后,将CCA的结果与有限元方法(FEM)和遗传算法(GA)进行比较。在应用中,压缩表明CCA在设计复合材料中的胶粘接头方面是成功的。

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