A Model to Create Graeco Latin Square Using Genetic Algorithm

Masood Kiarash Rad, Kamyar Raoufi, M. Shafieezadeh, Simin Poozeshi
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引用次数: 2

Abstract

In today's increasingly competitive world, Design of Experiments (DoE) techniques are widely used, both by researchers and in industry to minimization of statistical experiments and lowering cost while maximization of result quality. But DoE techniques are various in involved factors and application. One of the most important models that can block 3 nuisance factors is Graeco Latin Square. Considering the complexities of creating ? ≥ ? square, In this paper we use Genetic Algorithm as a effective meta-heuristic method for dealing with these complexities. After designing and implementing the model, result of the algorithm shows that this procedure leads to appropriate answer rapidly.
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用遗传算法建立Graeco拉丁方的模型
在当今竞争日益激烈的世界中,实验设计(DoE)技术被研究人员和工业界广泛使用,以最大限度地减少统计实验,降低成本,同时最大限度地提高结果质量。但是DoE技术涉及的因素和应用是多种多样的。其中一个最重要的模型,可以阻止3个讨厌的因素是Graeco拉丁广场。考虑到创造的复杂性?≥吗?在本文中,我们使用遗传算法作为一种有效的元启发式方法来处理这些复杂性。经过模型的设计和实现,算法的结果表明,该方法能快速得到合适的答案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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