A Mixed-Integer Robust Design Optimization and Genetic Algorithm

机译：混合整数鲁棒设计优化和遗传算法

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The majority of existing robust design models assume that input factors are continuous. In today's complex engineering systems, however, combined discrete-continuous factors are often used for the product and process design. In this paper, we propose a mixed-integer based robust design model in the context of response surface design. We then show how the genetic algorithm can be used for solving this particular robust design problem.

机译：大多数现有的强大设计模型假设输入因素是连续的。然而，在当今复杂的工程系统中，合并的离散导致因素通常用于产品和工艺设计。在本文中，我们在响应面设计的背景下提出了一种基于混合整数的鲁棒设计模型。然后，我们展示了遗传算法如何用于解决该特定的强大设计问题。

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《IIE Annual Conference and Exhibition》|2004年||共6页
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Sangmun Shin; Madhumohan S. Govindaluri; Byung Rae Cho;
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中图分类 T-53;
关键词
Robust design; Response surface methodology; Modified central composite design; Genetic algorithm; Optimization;

机译：鲁棒设计;响应面方法;改进的中央复合设计;遗传算法;优化;

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4. A Mixed-Integer Robust Design Optimization and Genetic Algorithm [C] . Sangmun Shin, Madhumohan S. Govindaluri, Byung Rae Cho IIE Annual Conference and Exhibition . 2004

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A Mixed-Integer Robust Design Optimization and Genetic Algorithm

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