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Improved genetic algorithm for optimization design of a three-dimensional braided composite joint

机译：改进的遗传算法优化三维编织复合节点设计

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摘要

In this study, we develop an algorithm for the optimization design of a three-dimensional (3D) braided composite joint. The design is a typical optimization problem with high computational expense in terms of objective evaluation and a highly dimensional design domain. The algorithm is established in the framework of a Genetic Algorithm (GA) that integrates the Steepest Descend Method (SDM), and it is improved according to the characteristics of the abovementioned problem. A Structural Strength Computational Model (SSCM) for the mechanical performance analysis of the joint is also developed to evaluate the optimization objective, and the model is experimentally verified. Results show that structural strength increases significantly after optimization. During optimization, the coupling relationship between stress distribution and material properties leads to the problem of nonlinearity and multimodality. The GA searches globally, which prevents the result from locally converging, and provides excellent initial solutions for the SDM. Then, the SDM searches locally with high-efficiency and increases the accuracy of the solutions. This method is precise and efficient for the abovementioned optimization problem.
机译：在这项研究中，我们开发了一种用于3D编织复合接头优化设计的算法。在客观评估和高维设计领域方面，设计是典型的优化问题，具有较高的计算成本。该算法是在集成了最速下降法（SDM）的遗传算法（GA）的框架中建立的，并根据上述问题的特征进行了改进。还开发了用于接头机械性能分析的结构强度计算模型（SSCM），以评估优化目标，并对该模型进行了实验验证。结果表明，优化后结构强度显着提高。在优化过程中，应力分布与材料特性之间的耦合关系导致非线性和多峰性问题。 GA会进行全局搜索，从而防止结果在本地收敛，并为SDM提供出色的初始解决方案。然后，SDM可以在本地高效搜索并提高解决方案的准确性。该方法对于上述优化问题是精确而有效的。

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