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首页> 外文会议>Proceedings of the 34th IASTED International Conference on Modelling, Identification and Control >MULTI-OBJECTIVE OPTIMIZATION STRATEGIES FOR THE CUSTOM-FIT BRA DESIGN
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MULTI-OBJECTIVE OPTIMIZATION STRATEGIES FOR THE CUSTOM-FIT BRA DESIGN

机译：定制胸罩设计的多目标优化策略

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摘要

This paper presents a multi-objective optimization strategy for the custom-fit bra design based on meta-heuristic method of Genetic Algorithms (GA) for a three-dimensional viscoelastic breast model and elastic bra model. First, a multi-objective optimization formulation with assigned weight factor, each objective function and bra design variables including dimensions and material properties. For individual breast of specific volume and material properties, the GA can be customized to generate solutions for the multi-objective optimization by using predetermined fit functions and the methods to promote the solution diversity. Then, based on the solution given from the GA, a new Finite Element (FE) simulation will be performed to develop the three-dimensional viscoelastic breasts and elastic bra models. The simulation results in terms of contact pressure, contact area, deformation, stress distribution, and frictional force will be used to quantitatively determine the optimal bra support with minimum pressure. Finally, by integrating FE simulation and GA, reasonable solutions to a multi-objective design of the custom-fit bra can be obtained. Each solution satisfies the objectives at an acceptable level without being dominated by any other solution.
机译：本文针对三维粘弹性乳房模型和弹性胸罩模型，提出了一种基于遗传算法的元启发式遗传算法的定制胸罩设计多目标优化策略。首先，多目标优化公式具有分配的权重因子，每个目标函数和胸罩设计变量，包括尺寸和材料属性。对于具有特定体积和材料属性的单个乳房，可以使用预定的拟合函数和促进溶液多样性的方法对GA进行定制，以生成用于多目标优化的溶液。然后，根据遗传算法给出的解决方案，将执行新的有限元（FE）模拟，以开发三维粘弹性乳房和弹性胸罩模型。在接触压力，接触面积，变形，应力分布和摩擦力方面的模拟结果将用于以最小压力定量确定最佳胸罩支撑。最后，通过整合有限元模拟和遗传算法，可以获得针对定制胸罩的多目标设计的合理解决方案。每个解决方案都在可接受的水平上满足目标，而不受任何其他解决方案的支配。

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