参数与公差组合优化设计的遗传算法

2002 IEEE International Conference on Industrial Technology, 2002. IEEE ICIT '02. Pub Date : 2002-12-11 DOI:10.1109/ICIT.2002.1189349

S. Chirdchid, A. Mazouz

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引用次数: 4

摘要

许多研究论文试图优化参数和公差设计。参数和公差设计是实现产品高质量的关键。然而，由于公差限制的降低，在加工过程中仍然存在较高的成本。本工作的目的是将参数优化和公差设计在一个阶段结合到成本函数中。这个成本函数是容差成本函数和质量损失函数的和。泰勒展开在遗传算法中的应用，正因其作为一种寻找最优值的新型优化技术的潜力而受到密切关注。

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A genetic algorithm for combined parameter and tolerance design optimization

Many research papers have been tried to optimize the parameter and tolerance designs. Parameter and tolerance design are the main key to achieve high quality of products. However, high cost still remain in the process due to reducing the tolerance limit. The objective of this work is combines the optimization of parameter and tolerance design in one stage in to the cost function. This cost function is the sum of tolerance cost function and quality loss function. Taylor expansion will be applied in the genetic algorithm, is considering close attention regarding its potential as a novel optimization technique for searching the optimization value.

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来源期刊

2002 IEEE International Conference on Industrial Technology, 2002. IEEE ICIT '02.

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